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ORCIDIJCNN 1990: San Diego, CA, USA
- IJCNN 1990, International Joint Conference on Neural Networks, San Diego, CA, USA, June 17-21, 1990. IEEE 1990
- Takashi Kimoto, Kazuo Asakawa, Morio Yoda, Masakazu Takeoka:
Stock market prediction system with modular neural networks. 1-6 - Robert C. Frye, Edward A. Rietman, Kevin D. Cummings:
Computation of proximity effect corrections in electron beam lithography by a neural network. 7-14 - Ming-Tak Leung, W. E. Engeler, P. Frank:
Fingerprint processing using back propagation neural networks. 15-20 - Lilly Spirkovska, Max B. Reid:
Connectivity strategies for higher-order neural networks applied to pattern recognition. 21-26 - Arun Jagota:
Applying a Hopfield-style network to degraded text recognition. 27-32 - Kenneth A. Marko, Lee A. Feldkamp, Gintaras V. Puskorius:
Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection. 33-38 - Jenq-Neng Hwang, C. H. Chan, Robert J. Marks II:
Frequency selective surface design based on iterative inversion of neural networks. 39-44 - Gary Vrckovnik, Charles R. Carter, Simon S. Haykin:
Radial basis function classification of impulse radar waveforms. 45-50 - Todd K. Leen, Mike Rudnick, Dan Hammerstrom:
Hebbian feature discovery improves classifier efficiency. 51-56 - Nobuo Hataoka, Alexander H. Waibel:
Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs). 57-62 - Ah-Hwee Tan
, Q. Pan, H. C. Lui, H. H. Teh:
INSIDE: a neuronet based hardware fault diagnostic system. 63-68 - Gary Vrckovnik, T. Chung, Charles R. Carter:
Classifying impulse radar waveforms using principle components analysis and neural networks. 69-74 - X. Ying:
Role of activation function on hidden units for sample recording in three-layer neural networks. 69-74 - Takao Matsumoto, Masafumi Koga, Kazuhiro Noguchi, Shigeki Aizawa:
Proposal for neural-network applications to fiber-optic transmission. 75-80 - J. C. Hoskins, K. M. Kaliyur, David M. Himmelblau:
Incipient fault detection and diagnosis using artificial neural networks. 81-86 - Wen-Tsuen Chen, Kuen-Rong Hsieh:
A neural sorting network with O(1) time complexity. 87-95 - Laurent Bochereau, Paul Bourgine:
Rule extraction and validity domain on a multilayer neural network. 97-100 - Haw-Jye Shyu, John M. Libert, S. D. Mann:
Classifying seismic signals via RCE neural network. 101-105 - D. C. McMahon:
A neural network trained to select aircraft maneuvers during air combat: a comparison of network and rule based performance. 107-112 - Michel de Bollivier, Patrick Gallinari, Sylvie Thiria:
Cooperation of neural nets for robust classification. 113-120 - Michael D. Alston, Paul M. Chau:
A neural network architecture for the decoding of long constraint length convolutional codes. 121-126 - C. L. Philip Chen:
Neural computation for planning AND/OR precedence-constraint robot assembly sequences. 127-142 - A. S. Bavan:
NPS: a neural network programming system. 143-148 - Abdesselam Bouzerdoum, R. B. Pinter:
A shunting inhibitory motion detector that can account for the functional characteristics of fly motion-sensitive interneurons. 149-153 - S. S. Siddiqui:
Neural circuitry mediating locomotion in C. elegans : molecular correlates of inhibitory motor neurons. 155-160 - Hong Pan, Minping Qian, Aike Guo:
Statistical neurodynamics of the oscillatory circuit underlying central pattern generation. 161-168 - Fu-Sheng Tsung, Garrison W. Cottrell, Allen I. Selverston:
Some experiments on learning stable network oscillations. 169-174 - L. F. Abbott, Scott L. Hooper, Thomas B. Kepler, Eve Marder:
Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion. 175-180 - George J. Mpitsos, Robert M. Burton Jr., M. O. Hatfield:
Analogies of brain function in neural network models. 181-182 - Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A dynamical neural network model of sensorimotor transformations in the leech. 183-188 - N. Porcino:
Hexapod gait control by a neural network. 189-194 - Candace A. Kamm, S. Singhal:
Effect of neural network input span on phoneme classification. 195-200 - Ryotaro Kamimura:
Application of temporal supervised learning algorithm to generation of natural language. 201-207 - B. Anderson, D. Montgomery:
A method for noise filtering with feed-forward neural networks: Analysis and comparison with low-pass and optimal filtering. 209-214 - Ken'ichi Kamijo, Tetsuji Tanigawa:
Stock price pattern recognition-a recurrent neural network approach. 215-221 - Teuvo Kohonen, Kimmo Raivio, Olli Simula, Olli Ventä, Jukka Henriksson:
Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection. 223-228 - X. Wu, James H. Garrett Jr., J. Ghaboussi:
Representation of material behavior: neural network-based models. 229-234 - Jay Veezhinathan, Don Wagner:
A neural network approach to first break picking. 235-240 - Cong Deng, Simon Haykin:
A multi-layer neural network classifier for radar clutter. 241-246 - E. Fix, H. G. Armstrong:
Modeling human performance with neural networks. 247-252 - T. M. Jelonek, James P. Reilly:
Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network. 253-258 - Wen Yen, David McLean:
Combining heuristics for optimizing a neural net solution to the traveling salesman problem. 259-264 - Sung-Bae Cho, J. H. Kim:
Hierarchically structured neural networks for printed Hangul character recognition. 265-270 - Kazuo Nishimura, Masahiro Arai:
Power system state evaluation by structured neural network. 271-277 - T. L. Yu:
Time-table scheduling using neural network algorithms. 279-284 - N. Almassy, Monika Köhle, Franz Schänbauer:
Condela-3: A language for neural networks. 285-290 - Harris Drucker:
Implementation of minimum error expert system. 291-296 - Pekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri:
A neural implementation of conceptual hierarchies with Bayesian reasoning. 297-303 - John D. Hoyt, Harry Wechsler:
An examination of the application of multi-layer neural networks to audio signal processing. 305-310 - Pietro Burrascano, P. Lucci, Giuseppe Martinelli, Renzo Perfetti:
Velotopic maps in well-log inversion. 311-316 - Y. Yamamoto, V. Venkatasubramanian:
Integrated approach using neural networks for fault detection and diagnosis. 317-326 - Srinivas Krovvidy, William G. Wee:
A knowledge based neural network approach for waste water treatment system. 327-332 - Karl-Friedrich Kraiss, Heinz Küttelwesch:
Teaching neural networks to guide a vehicle through an obstacle course by emulating a human teacher. 333-337 - D. Anthony, E. Hines, J. Barham, D. Taylor:
A comparison of image compression by neural networks and principal component analysis. 339-344 - H. H. Luce, R. Govind:
Neural network applications in synthetic organic chemistry. I. A hybrid system which performs retrosynthetic analysis. 345-350 - B. W. York, M. K. Atkins:
Some performance results for a connection machine implementation of the boundary contour system. 351-358 - Luis Carlos Rabelo, Sema Alptekin, Ali S. Kiran:
Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS scheduling. 359-366 - Christopher Konger, José C. Príncipe, Murat Taner:
Neural network classification of event related potentials for the design of a new computer interface. 367-372 - Simon M. Lucas, Robert I. Damper:
Signature verification with a syntactic neural net. 373-378 - S. Ursic:
Synthesis of neural networks with linear programs. 379-383 - Hamid Ahmadi:
Testability of the arbitrage pricing theory by neural network. 385-393 - Jay I. Minnix, Eugene S. McVey, Rafael M. Inigo:
Modified neocognitron with position normalizing preprocessor for translation invariant shape recognition. 395-400 - D. S. Tang:
Neurocomputation of image motion. 401-406 - Spiros H. Courellis, Vasilis Z. Marmarelis:
An artificial neural network for motion detection and speed estimation. 407-421 - David P. Casasent, Etienne Barnard:
Adaptive clustering neural net for piecewise nonlinear discriminant surfaces. 423-428 - Mehmed Özkan, Hendrick G. Sprenkels, Benoit M. Dawant:
Multispectral magnetic resonance image segmentation using neural networks. 429-434 - Steve Lehar, Andrew J. Worth, David N. Kennedy:
Application of the boundary contour/feature contour system to magnetic resonance brain scan imagery. 435-440 - Sun-Yuan Kung:
Orthogonal learning network for constrained principal component problem. 441-449 - Peter Bock, H. Holz, Richard M. Rovner, C. J. Kocinski:
An initial performance evaluation of unsupervised learning with ALIAS. 451-465 - Ronald J. Steriti, John Coleman, Michael A. Fiddy:
A neural network based matrix inversion algorithm. 467-470 - Shin-yee Lu:
Pattern classification using self-organizing feature maps. 471-480 - Constantine N. Manikopoulos, George E. Antoniou, S. Metzelopoulou:
LVQ of image sequence source and ANS classification of finite state machine for high compression coding. 481-486 - E. Maeda:
General layered neural network for stereo disparity detection. 487-490 - Ari Visa:
A texture classifier based on neural network principles. 491-496 - Jon P. Davis, William A. C. Schmidt:
Local correlations as a translationally invariant feature space for target detection. 497-502 - Atam P. Dhawan, Thomas E. Dufresne:
Low-level image processing and edge enhancement using a self-organizing neural network. 503-510 - Thao K. P. Nguyen, Richard P. Lippmann, Bernard Gold, Douglas B. Paul:
A physiologically motivated front-end for speech recognition. 503-508 - Murali M. Menon, William M. Wells III:
Massively parallel image restoration. 511-516 - Dwight D. Egbert, Vassilis G. Kaburlasos, Philip H. Goodman:
Neural network discrimination of subtle image patterns. 517-524 - Philip Dale Heermann, Nahid Khazenie:
Analysis of large multi-dimensional data with a backpropagation neural network. 525-530 - Moritoshi Yasunaga, Noboru Masuda, Masayoshi Yagyu, Mitsuo Asai, Minoru Yamada, Akira Masaki:
Design, fabrication and evaluation of a 5-inch wafer scale neural network LSI composed on 576 digital neurons. 527-535 - Mohammed Arozullah, Aran Namphol:
A data compression system using neural network based architecture. 531-536 - Chee-Hung Henry Chu:
A spatial summation model for image processing by artificial neural networks. 537-543 - Dan W. Hammerstrom:
A VLSI architecture for high-performance, low-cost, on-chip learning. 537-544 - Teuvo Kohonen:
Improved versions of learning vector quantization. 545-550 - Aharon J. Agranat, Charles F. Neugebauer, Amnon Yariv:
A CCD based neural network integrated circuit with 64K analog programmable synapses. 551-555 - George C. Lendaris, Ihab A. Harb:
Improved generalization in ANNs via use of conceptual graphs: a character recognition task as an example case. 551-556 - Tomas Hrycej:
A modular architecture for efficient learning. 557-562 - Granger G. Sutton III, James A. Reggia, J. M. Maisog:
Supervised and reinforced competitive learning. 563-567 - J. Ouali, Gabriele Saucier:
Silicon compiler for neuro-ASICs. 557-561 - Gerhard Rigoll:
Information theory principles for the design of self-organizing maps in combination with hidden Markov modeling for continuous speech recognition. 569-574 - Eric A. Wan:
Temporal backpropagation for FIR neural networks. 575-580 - Bang W. Lee, Ji-Chien Lee, Bing J. Sheu:
VLSI image processor using analog programmable synapses and neurons. 575-580 - Masa-aki Sato, Kazuki Joe, Tatsuya Hirahara:
APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature. 581-587 - Jörg A. Walter, Helge J. Ritter, Klaus Schulten:
Nonlinear prediction with self-organizing maps. 589-594 - William R. Wike, David E. van den Bout, Thomas K. Miller III:
The VLSI implementation of STONN. 593-598 - Ali A. Minai, Ronald D. Williams:
Back-propagation heuristics: a study of the extended delta-bar-delta algorithm. 595-600 - Omar N. Mian, Neil E. Cotter:
Convergence properties of a pulsed neural network. 599-609 - David B. Fogel, Lawrence J. Fogel, Vincent W. Porto:
Evolutionary programming for training neural networks. 601-605 - S. P. Day, D. S. Camporese:
A stochastic training technique for feed-forward neural networks. 607-612 - L.-M. Fu:
Backpropagation in neural networks with fuzzy conjunction units. 613-618 - D. Olmsted:
The recticular formation as a multi-valued logic neural network. 619-624 - Masafumi Hagiwara:
Novel backpropagation algorithm for reduction of hidden units and acceleration of convergence using artificial selection. 625-630 - James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, M. R. Ashouri, Gary G. Leininger:
Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2. 631-636 - Guillaume Deffuant:
Neural units recruitment algorithm for generation of decision trees. 637-642 - Mu-Song Chen, Michael T. Manry:
Backpropagation representation theorem using power series. 643-648 - R. D. Jones, Yee-Chun Lee, C. W. Barnes, Gary William Flake, K. Lee, Paul S. Lewis, S. Qian:
Function approximation and time series prediction with neural networks. 649-665 - Hung-Chun Yau, Michael T. Manry:
Sigma-pi implementation of a nearest neighbor classifier. 667-672 - R. K. M. Cheung, Irvin Lustig, A. L. Kornhauser:
Relative effectiveness of training set patterns for backpropagation. 673-678 - R. H. White:
The learning rate in back-propagation systems: an application of Newton's method. 679-684 - Roy L. Streit:
A neural network for optimum Neyman-Pearson classification. 685-690 - Bill G. Horne, Don R. Hush:
Estimating a posteriori probability with P-type nodes. 691-696 - Shidong Li:
An optimized backpropagation with minimum norm weights. 697-702 - C. H. Sequin, R. D. Clay:
Fault tolerance in artificial neural networks. 703-708 - George G. Lendaris:
A proposal for indicating quality of generalization when evaluating ANNs. 709-713 - Junping Sun, William I. Grosky, M. H. Hassoun:
A fast algorithm for finding global minima of error functions in layered neural networks. 715-720 - L. G. Allred, G. E. Kelly:
Supervised learning techniques for backpropagation networks. 721-728 - Guo-Zheng Sun, H. H. Chen, Yee-Chun Lee, C. Lee Giles:
Recurrent neural networks, hidden Markov models and stochastic grammars. 729-734 - H. G. Loos:
Quadratic Hadamard memories. 735-740 - B. Humpert:
Bidirectional associative memory with several patterns. 741-750 - Brian A. Telfer, David P. Casasent:
Ho-Kashyap content-addressable associative processors. 751-756 - Subramania I. Sudharsanan, Malur K. Sundareshan:
Systematic design of associative memory networks: equilibrium confinement, exponential stability and gradient descent learning. 757-762 - M. H. Hassoun, A. M. Youssef:
Autoassociative neural memory capacity and dynamics. 763-769 - Richard K. Elsley:
Adaptive control of prosthetic limbs using neural networks. 771-776 - Wei Kang Tsai, Alexander G. Parlos, Benito Fernández:
ASDM-a novel neural network model based on sparse distributed memory. 771-776 - Yoshiteru Ishida:
Fully distributed diagnosis by PDP learning algorithm: towards immune network PDP model. 777-782 - Shlomo Geva, Joaquin Sitte:
A pseudo-inverse neural net with storage capacity exceeding N. 783-788 - Masaya Oita, Masanobu Takahashi, Shuichi Tai, Keisuke Kojima, Kazuo Kyuma:
Character recognition using a dynamic opto-electronic neural network with unipolar binary weights. 789-794 - C. R. Willcox:
Error propagation in fractal neural networks. 789-793 - J. R. Goff:
Inner-product implementations of optical associative memories. 795-801 - Youngjik Lee, Myung Won Kim, Hyun Kyung Song, Sin Chang Park:
Analysis of classification performance for Hopfield network with predefined correlated exemplar patterns. 803-808 - Noboru Sugie, Hideaki Honda, Noboru Ohnishi:
A connectionist model of associative storage and recall of 3D objects. 809-814 - P. Li, R. S. Nutter:
A bi-directional associative memory used in a pattern recognition system. 815-820 - C. Y. Lee, Jia-Shung Wang, Richard C. T. Lee:
On the state transition graph of Hopfield net model. 821-826 - Emile Fiesler, H. John Caulfield, Amar Choudry, J. P. Ryan:
Maximum capacity topologies for fully connected layered neural networks with bidirectional connections. 827-831 - Hiroshi Date, Mitsuho Seki, Terumine Hayashi:
LSI module placement methods using neural computation networks. 831-836 - Jung-Hua Wang, Thomas F. Krile, John F. Walkup:
Figures of merit for the performance of Hebbian-type associative memories. 833-838 - Jasprit Singh:
Use of true-complement optical images for efficient associative memory implementation. 839-846 - Pau-Choo Chung, Thomas F. Krile:
Reliability measures for Hebbian-type associative memories with faulty interconnections. 847-852 - J. Perry:
Basins of attraction revisited. 853-858 - J.-C. Perez:
Integers neural network systems (INNS) using resonance properties of a Fibonacci's chaotic 'golden neuron'. 859-865 - Patrik Floréen:
An analysis of the convergence time of Hamming memory networks. 867-872 - Werner Pöchmüller, Manfred Glesner:
Handwritten pattern recognition with a binary associative memory. 873-878 - P. Yates:
A method for generating digital signals in response to novel inputs. 879-884 - Tan Han Ngee, Ooi Tian Hock:
A novel generalized flip-flop for memory association and maximization in artificial neural network. 885-892 - A. Aziz Bhatti:
A neural network based multi-associative memory model. 893-898 - Manoj Raghavan, Chitra Dorai:
A self-organizing neural network for locus-addressable associative memory. 899-904 - Raymond Lister:
Toward context dependent classification of infra-red spectra by energy minimization. 1-6 - Mitch Eggers, Tim Khuon:
Neural network data fusion concepts and application. 7-16 - Jagath C. Rajapakse, Raj Acharya:
Multi sensor data fusion within hierarchical neural networks. 17-22 - Atul K. Chhabra, Timothy A. Grogan:
Vision, analog networks, and the minimum norm constraint. 937-939 - I. G. Smotroff, T. P. Howells, S. Lehar:
Meteorological classification of satellite imagery using neural network data fusion. 23-28 - J. E. Jensen, M. A. Eshera, S. C. Barash:
Neural network controller for adaptive routing in survivable communications networks. 29-36 - J. Jameson:
A neurocontroller based on model feedback and the adaptive heuristic critic. 37-44 - Ronald A. Cole, Mark A. Fanty, Yeshwant K. Muthusamy, M. Gopalakrishnan:
Speaker-independent recognition of spoken English letters. 45-51 - Jonathan J. Kaufman, A. Chiabrera, N. Hakim, M. Hatem, M. Figueiredo, P. Nasser, S. Lattuga, P. Trent, A. A. Pilla, Robert S. Siffert:
Bone fracture healing assessment using a neural network. 53-58 - Terry Troudet, Walter C. Merrill:
A real time neural net estimator of fatigue life. 59-64 - M. K. Fleming, Garrison W. Cottrell:
Categorization of faces using unsupervised feature extraction. 65-70 - Takao Matsumoto, Masafumi Koga:
A high-speed learning method for analog neural networks. 71-76 - Qing Yang, Vijay K. Bhargava:
Building expert systems by a modified perceptron network with rule-transfer algorithms. 77-82 - Dalila Benachenhou, Masud Cader, Harold H. Szu, Larry R. Medsker, Carl T. Wittwer, David J. Garling:
Neural networks for computing invariant clustering of a large open set of DNA-PCR-primers generated by a feature-knowledge based system. 83-89 - Cathy H. Wu, George M. Whitson, G. J. Montllor:
PROCANS: a protein classification system using a neural network. 91-96 - Carl Diegert:
Out-of-core backpropagation. 97-103 - Daniel B. Rayburn, Casimir C. Klimasauskas, Adolph J. Januszkiewicz, Jamie M. Lee, Gary R. Ripple, James R. Snapper:
The use of back propagation neural networks to identify mediator-specific cardiovascular waveforms. 105-110 - Marvin Gersho, Randy Reiter:
Information retrieval using hybrid multi-layer neural networks. 111-117 - Sinmo Sung, Fredric M. Ham, Wesley Shelton:
A new robust neural network method for coherent interference rejection in adaptive array systems. 119-124 - Lixin Wang, Jerry M. Mendel:
Structured trainable networks for matrix algebra. 125-132 - Benito Fernández, Alexander G. Parlos, Wei Kang Tsai:
Nonlinear dynamic system identification using artificial neural networks (ANNs). 133-141 - Aurelio Uncini, Michele Marchesi, Gianni Orlandi, Francesco Piazza:
Improved evoked potential estimation using neural network. 143-148 - M. M. Yen, Michael R. Blackburn, H. G. Nguyen:
Feature maps based weight vectors for spatiotemporal pattern recognition with neural nets. 149-155 - Alvin J. Surkan, J. C. Singleton:
Neural networks for bond rating improved by multiple hidden layers. 157-162 - M. D. Odom, Ramesh Sharda:
A neural network model for bankruptcy prediction. 163-168 - G. Chinn, K. A. Grajski, C. Chen, C. Kuszmaul, S. Tomboulian:
Systolic array implementations of neural nets on the MasPar MP-1 massively parallel processor. 169-173 - Patrick M. Shea, Felix Liu:
Operational experience with a neural network in the detection of explosives in checked airline luggage. 175-178 - Sami Khuri, Aïda Batarekh:
The harmonium and decision problems. 179-183 - C. Shim, B. Espinoza-Varas, J. Y. Cheung:
A PC-based neural network for recognition of difficult syllables using LPC coefficient difference. 185-190 - A. Shaw, R. A. Mitchell:
Phoneme recognition with a time-delay neural network. 191-195 - Brenda J. Kagle, John H. Murphy, L. James Koos, James R. Reeder:
Multi-fault diagnosis of electronic circuit boards using neural networks. 197-202 - N. Gaitanis, Dimitris A. Karras:
A low cost pattern classifier based on coding techniques. 203-208 - Bart Kosko:
Stochastic competitive learning. 215-226 - James S. Morgan, E. C. Patterson, A. Harry Klopf:
A drive-reinforcement neural network model of simple instrumental conditioning. 227-232 - Christian J. Darken, John E. Moody:
Fast adaptive k-means clustering: some empirical results. 233-238 - Fathi M. A. Salam, Shi Bai, J. Hou:
Dynamics of feedback neural nets with unsupervised learning. 239-244 - J. C. C. Ip, Mabo Robert Ito, P. D. Lawrence:
Conditions for the convergence of one-layer networks under reinforcement learning. 245-252 - Jürgen Schmidhuber:
An on-line algorithm for dynamic reinforcement learning and planning in reactive environments. 253-258 - K. Tsutsumi:
Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks. 259-265 - K. Valtonen, Torbjörn Kronander, Ingemar Ingemarsson:
Pulse stream neural networks and reinforcement learning. 267-272 - A. L. Dajani, M. Kamel, M. I. Elmastry:
Single layer potential function neural network for unsupervised learning. 273-278 - Pasi Koikkalainen, Erkki Oja:
Self-organizing hierarchical feature maps. 279-284 - Granger G. Sutton III, James A. Reggia, J. M. Maisog:
Competitive learning using competitive activation rules. 285-291 - Michael R. Blackburn:
A general architecture for classical conditioning of perceptual-motor sequences. 293-298 - Yasuo Matsuyama:
Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connections. 299-306 - Tomas Hrycej:
Self-organization by delta rule. 307-312 - A. L. Nigrin:
SONNET: a self-organizing neural network that classifies multiple patterns simultaneously. 313-318 - P. Ntourntoufis:
Self-organization properties of a discriminator-based neural network. 319-324 - Charles L. Wilson, R. A. Wilkinson, Michael D. Garris:
Self-organizing neural network character recognition on a massively parallel computer. 325-329 - Jari Kangas:
Time-delayed self-organizing maps. 331-336 - Reiner Lenz, Mats Österberg:
Learning filter systems. 337-342 - Marco Saerens:
Unsupervised clustering based on a competitive cost function. 343-348 - Siamack Haghighi, Lex A. Akers:
TRELIS: an optimal unsupervised local training rule. 349-354 - G. M. Laskoski:
Addressing scaling and plasticity problems with a biologically motivated self-organizing network. 355-360 - F.-G. Zeng, M. Zhang, Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
A neural network approach to prediction of psychological performance in frequency discrimination. 361-366 - Ernst Niebur, Florentin Wörgötter:
Circular inhibition: a new concept in long-range interactions in the mammalian visual cortex. 367-372 - Pietro Mazzoni, Richard A. Andersen, Michael I. Jordan:
A R-P learning applied to a network model of cortical area 7a. 373-379 - S. J. Goodman, Richard A. Andersen:
Algorithm programmed by a neural network model for coordinate transformation. 381-386 - Thomas B. Schillen, Peter König:
Coherency detection and response segregation by synchronizing and desynchronizing delay connections in a neuronal oscillator model. 387-395 - Vinod Menon, D. S. Tang:
Synchronization in distributed neural systems. 397-402 - José Carlos Príncipe, P.-C. Lo:
Chaotic dynamics of time-delay neural networks. 403-409 - Joachim M. Buhmann, Martin Lades, Christoph von der Malsburg:
Size and distortion invariant object recognition by hierarchical graph matching. 411-416 - Werner von Seelen, Hanspeter A. Mallot:
Neural mapping and space-variant image processing. 417-422 - Klaus Obermayer, Helge J. Ritter, Klaus Schulten:
A neural network model for the formation of topographic maps in the CNS: development of receptive fields. 423-429 - Galina N. Borisyuk, Roman M. Borisyuk, Alexandr B. Kirillov, V. I. Kryukov, W. Singer:
Modeling of oscillatory activity of neuron assemblies of the visual cortex. 431-434 - Thomas L. Clarke:
Generalization of neural networks to the complex plane. 435-440 - Alain Lelu, Albert Georgel:
Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objects. 441-446 - James P. Coughlin, Robert H. Baran:
Calculating the information content of a temporally modulated spike train. 447-452 - S. Reinis, D. S. Weiss, S. McGaraughty:
Analysis of real neuronal circuits in the vertebrate central nervous system. 453-458 - Georg Hartmann, Siegbert Drüe:
Verification of continuity, using temporal code. 459-464 - Derek Smith, Paul Stanford:
A random walk in Hamming space. 465-470 - Toshikazu Takemori, Nobuji Miyasaka, Shozo Hirose:
Thermal comfort sensor based on probabilistic energy neural network. 471-476 - DeLiang Wang, Michael A. Arbib:
Mechanisms of pattern discrimination in the toad's visual system. 477-482 - Chalapathy Neti, Michael H. Schneider, Eric D. Young:
Maximally fault-tolerant neural networks and nonlinear programming. 483-496 - Marcus Thint, Paul P. Wang:
Tactile feature extraction and classification with connectionist models. 497-502 - Peter Z. Revesz:
Functional interpretations of neocortical modules. 509-514 - Shiro Usui, Shigeki Nakauchi, Masae Nakano:
Reconstruction of Munsell color space by a five-layered neural network. 515-520 - Masanori Idesawa:
Depth interpolation from surface boundary perceived with binocular viewing. 521-526 - Max Stanford Tomlinson Jr., Dennis J. Walker, Massimo A. Sivilotti:
A digital neural network architecture for VLSI. 545-550 - William A. Fisher, Robert J. Fujimoto, M. M. Okamura:
The Lockheed programmable analog neural network processor. 563-568 - Jens Rainer Beerhold, Michael Jansen, Rolf Eckmiller:
Pulse-processing neural net hardware with selectable topology and adaptive weights and delays. 569-574 - Yoshiji Fujimoto:
An enhanced parallel planar lattice architecture for large scale neural network simulations. 581-586 - Kenji Nakayama, Satoru Inomata, Yukou Takeuchi:
A digital multilayer neural network with limited binary expressions. 587-592 - Steven W. Aiken, Mark W. Koch, Morian W. Roberts:
A parallel neural network simulator. 611-616 - J. Diamond, R. McLeod, Witold Pedrycz:
A fuzzy cognitive system: examination of a referential neural architecture. 617-622 - Michele Marchesi, Gianni Orlandi, Francesco Piazza, L. Pollonara, Aurelio Uncini:
Multi-layer perceptrons with discrete weights. 623-630 - Lon-Chan Chu, Benjamin W. Wah:
Fault tolerant neural networks with hybrid redundancy. 639-649 - Jeffrey C. Smith, Jack L. Feldman:
Organization of oscillatory motor pattern generation networks in the mammalian central nervous system. 651-656 - B. G. Lindsey, K. F. Morris, R. Shannon:
Multineuron recordings and the analysis of state dependent network configurations in respiratory neuron assemblies. 657-661 - James S. Schwaber, Julian F. R. Paton, B. R. Due, K. M. Spyer, W. T. Rogers:
Reconstructing computational principles in a vertebrate adaptive reflex system. 663-668 - Paul S. G. Stein:
Intrinsic capabilities of neural networks in the turtle spinal cord: selection and generation of motor patterns. 669-674 - Eberhard E. Fetz, Larry E. Shupe, Venkatesh N. Murthy:
Neural networks controlling wrist movements. 675-679 - A. B. Schwartz:
Motor cortical activity during sinusoidal tracing. 681-686 - John F. Kalaska:
Cerebral cortical neuronal mechanisms of reaching movements. 687-692 - D. B. Arnold, D. A. Robinson:
A neural network that learns to integrate oculomotor signals. 693-697 - K. J. Quinn, Nestor A. Schmajuk, J. F. Baker, Barry W. Peterson:
Modeling the three neuron vestibulo-ocular reflex arc: contribution to eye movement computation. 699-704 - T. Sinkjaer, C. H. Wu, Andrew G. Barto, James C. Houk:
Cerebellar control of endpoint position-a simulation model. 705-710 - Garrett E. Alexander, Michael D. Crutcher:
Parallel processing within motor areas of cerebral cortex and basal ganglia in the monkey. 711-716 - D. W. Drawbaugh:
Toward a model of the hippocampus. 717-722 - Aijaz A. Baloch, Allen M. Waxman:
A neural system for behavioral conditioning of mobile robots. 723-728 - E. R. Schulze, S. Bohrer, Michael Dose, S. Fuhrmann:
An active vision system for navigation in a natural environment. 729-734 - Richard G. Hoptroff, Trevor J. Hall, R. E. Burge:
Experiments with a neural controller. 735-740 - Wilf R. LaLonde, M. B. Maklin:
The reactive touch model: determining which way to move to avoid touching. 741-746 - Thomas Martinetz, Klaus Schulten:
Hierarchical neural net for learning control of a robot's arm and gripper. 747-752 - F. Matsuo:
Trajectory analysis in human epileptiform discharges of temporal lobe origin. 753-758 - Daniel S. Levine, Raju S. Bapi:
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. 759-764 - Mahmood J. Nahvi:
On the neural network of a synthetic cerebellum to control fast movements of an arm. 765-770 - J. B. Saxon, A. Mukerjee:
Learning the motion map of a robot arm with neural networks. 777-782 - Yves Burnod, P. Grandguillaume, I. Otto, R. Caminiti, P. Johnson:
Command of visually guided 3D arm movements by the cerebral cortex. 783-788 - J. M. Barrilleaux:
A biologically motivated algorithm for image interpretation based on multi-pass multi-resolution techniques. 813-818 - Herwig Mannaert, André Oosterlinck:
A self-organizing system for object analysis and identification. 819-824 - B. L. Pulito, T. R. Damarla, S. Nariani:
A two-dimensional shift invariant image classification neural network which overcomes the stability/plasticity dilemma. 825-833 - Wei-Chun Lin, Fong-Yuan Liao, Chen-Kuo Tsao, Theresa Lingutla:
A connectionist approach to multiple-view based 3-D object recognition. 835-844 - Wei Li, Nasser M. Nasrabadi:
Invariant object recognition based on a neural network of cascaded RCE nets. 845-854 - Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Yann LeCun, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Sara A. Solla:
Hardware requirements for neural-net optical character recognition. 855-861 - Dennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, J. P. Mills:
Multisensor fusion classification with a multilayer perceptron. 863-868 - P. Y. Zhu, Tony Kasvand, Adam Krzyzak:
Motion estimation based on point correspondence using neural network. 869-874 - Yi-Tong Zhou, Rama Chellappa:
A network for motion perception. 875-884 - Chienchung Chang, Shankar Chatterjee:
Multiresolution stereo by simulated annealing. 885-890 - Masa-aki Sato:
Rotational invariant formulation for line process. 891-896 - Tyler C. Folsom:
A modular hierarchical neural network for machine vision. 897-902 - Madan M. Gupta, Suresh K. Hungenahally:
Discriminant operators: emulation of visual receptive fields for the extraction of transitions in signals and images. 903-909 - Mark W. Koch, Xiaozhong Zhou:
A selective attention neural network for object recognition. 911-916 - Sheng-De Wang, Chung-Chi Pan:
A neural network approach for Chinese character recognition. 917-923 - Carlos A. Pomalaza-Raez, David Yu-Shan Fong:
Direction-selective mechanisms for vision: analytical models. 925-930 - C.-C. Liang, F.-Y. Liao, W.-C. Lin:
ART-1 neural network for reducing search space in 3-D object recognition using multiple views. 931-936 - R. L. Harvey, P. N. DiCaprio, K. G. Heinemann, M. L. Silverman, J. M. Dugan:
A neural architecture for visual recognition of general stationary objects by machines. 937-942 - Masao Yoshida, Akira Iwata, Nobukazu Iijima, Ryuichi Ejiri, Hiroyuki Izumi, Mototaka Sone, Hideo Mitsui:
A study of a divided learning method. 943-947 - Jagath C. Rajapakse, Raj Acharya:
Medical image segmentation with MARA. 965-972 - Shotaro Akaho, Shun-ichi Amari:
On the capacity of three-layer networks. 1-6 - Maxwell B. Stinchcombe, Halbert White:
Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights. 7-16 - John S. Baras, Anthony LaVigna:
Convergence of Kohonen's learning vector quantization. 17-20 - Derrick Nguyen, Bernard Widrow:
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. 21-26 - M. S. Kim, Clark C. Guest:
Modification of backpropagation networks for complex-valued signal processing in frequency domain. 27-31 - Gerald Tesauro:
Neurogammon: a neural-network backgammon program. 33-39 - Samir A. Shah, Francesco Palmieri:
MEKA - a fast, local algorithm for training feedforward neural networks. 41-46 - Yoh-Han Pao, G. M. Zwingelstein, Dejan J. Sobajic:
Analysis of transients on basis of identification of signal generative structure: Even unto chaos. 47-55 - Jenq-Neng Hwang, Jai J. Choi, Seho Oh, Robert J. Marks II:
Query learning based on boundary search and gradient computation of trained multilayer perceptrons. 57-62 - Ishwar K. Sethi, Mike Otten:
Comparison between entropy net and decision tree classifiers. 63-68 - Pietro Burrascano, P. Lucci:
Smoothing backpropagation cost function by delta constraining. 75-80 - Pietro Burrascano, P. Lucci:
A learning rule in the Chebyshev norm for multilayer perceptrons. 81-86 - Laurent Bochereau, Paul Bourgine:
A generalist-specialist paradigm for multilayer neural networks. 87-91 - J. Song, M. H. Hassoun:
Learning with hidden targets. 93-98 - Shigeo Abe:
Learning by parallel forward propagation. 99-104 - Thierry J. Guillerm, Neil E. Cotter:
Neural networks in noisy environment: a simple temporal higher order learning for feed-forward networks. 105-112 - Ulrich Bodenhausen:
Learning internal representations of pattern sequences in a neural network with adaptive time-delays. 113-118 - William H. Clingman, Donald K. Friesen:
Topological analysis of infinite learning automata I: classification of neural network behavior. 119-124 - Donald W. Fausett:
Strictly local backpropagation. 125-130 - Hans-Ulrich Bauer, Theo Geisel:
Dynamics of signal processing in feedback multilayer perceptrons. 131-136 - M. Wann, T. Hediger, N. N. Greenbaum:
The influence of training sets on generalization in feed-forward neural networks. 137-142 - O. Fujita:
A method for designing the internal representation of neural networks. 149-154 - Kenji Baba, Ichiro Enbutu, Mikio Yoda:
Explicit representation of knowledge acquired from plant historical data using neural network. 155-160 - Yeong-Ho Yu, Robert F. Simmons:
Extra output biased learning. 161-166 - Yeong-Ho Yu, R. F. Simmond:
Descending epsilon in back-propagation: a technique for better generalization. 167-172 - C. K. Lee, Hon Keung Kwan:
Learning algorithms for auto-associators with full storage capacity. 173-178 - Shelly D. D. Goggin, Karl E. Gustafson, Kristina M. Johnson:
Connectionist nonlinear over-relaxation. 179-184 - Amro El-Jaroudi, John Makhoul:
A new error criterion for posterior probability estimation with neural nets. 185-192 - Gerald Fahner:
A higher order unit that performs arbitrary Boolean functions. 193-197 - Joseph J. DeStefano:
Logistic regression and the Boltzmann machine. 199-204 - Stephen A. Brodsky, Clark C. Guest:
Binary backpropagation in content addressable memory. 205-210 - Hideki Asoh, Nobuyuki Otsu:
An approximation of nonlinear discriminant analysis by multilayer neural networks. 211-216 - O. Farotimi, R. Raghavan:
Learning in a recognition network: a synthesis of model-based and data-driven approaches. 217-224 - Adam Krzyzak, W. Dai, Ching Y. Suen:
Classification of large set of handwritten characters using modified back propagation model. 225-232 - Nikitas J. Dimopoulos, Don Radvan, W. A. Keddy:
Learning in asymptotically behaving neural networks. 233-238 - Gregg D. Wilensky, Joseph A. Neuhaus:
Scaling of back-propagation training time to large dimensions. 239-244 - Y. H. Kong, Andrew S. Noetzel:
The piecewise linear neural network: training and recognition. 245-250 - Tzyy-Ping Jung, Ashok K. Krishnamurthy, Stanley C. Ahalt:
The effects of distortion measures and feature sets on neural network classifiers. 251-256 - Waleed Fakhr, Mohamed I. Elmasry:
A fast learning technique for the multilayer perceptron. 257-262 - Fathi M. A. Salam, Shi Bai:
A feedback neural network with supervised learning. 263-268 - Benjamin W. Wah, Harish Kriplani:
Resource constrained design of artificial neural networks. 269-279 - Hedong Yang, Clark C. Guest:
High order neural networks with reduced numbers of interconnection weights. 281-286 - Hedong Yang, Clark C. Guest:
Linear discriminants, logic functions, backpropagation, and improved convergence. 287-292 - Edgardo A. Ferrán, Roberto P. J. Perazzo:
Learning an archetype of a symmetry class. 293-298 - Kenji Doya, Shuji Yoshizawa:
Memorizing hierarchical temporal patterns in analog neuron networks. 299-304 - Chia-Lun J. Hu:
A novel, geometric supervised learning scheme using linear programming approach. 305-308 - Sheng-De Wang, Hackerd M. S. Yeh:
Self-adaptive neural architectures for control applications. 309-314 - Nils Goerke, M. Schöne, B. Kreimeier, Rolf Eckmiller:
A network with pulse processing neurons for generation of arbitrary temporal sequences. 315-320 - J. Hakala, R. Steiner, Rolf Eckmiller:
Quasi-local solution for inverse kinematics of a redundant robot arm. 321-326 - Sukhan Lee, Rhee Man Kil:
Robot kinematic control based on bidirectional mapping neural network. 327-335 - G. Xu, H. Scherrer, G. Schweitzer:
Application of neural networks on robot grippers. 337-342 - Mark D. Hanes, Stanley C. Ahalt, Khalid Mirza, David E. Orin:
A neural network interface to the DIGITS Grasping System. 343-348 - Seong-Gon Kong, Bart Kosko:
Comparison of fuzzy and neural truck backer-upper control systems. 349-358 - Ajay Patrikar, John D. Provence:
A self-organizing controller for dynamic processes using neural networks. 359-364 - Toshiaki Iwata, Kazuo Machida, Yoshitsugu Toda:
Fuzzy control using neural network techniques. 365-370 - Youji Iiguni, Hideaki Sakai, Hidekatsu Tokumaru:
A regulator design method using multi-layered neural networks. 371-379 - R. W. Scott, D. J. Collins:
Neural network adaptive controllers. 381-386 - Roman W. Swiniarski:
A neuromorphic cascaded context sensitive controller for robot manipulator. 387-392 - L. Nguyen, Rajnikant V. Patel, Khashayar Khorasani:
Neural network architectures for the forward kinematics problem in robotics. 393-399 - Neil E. Cotter, Peter R. Conwell:
Methuselah networks and optimal control. 401-406 - K. Wilhelmsen, Neil E. Cotter:
Neural network based controllers for a single-degree-of-freedom robotic arm. 407-413 - Heinz Walter Werntges:
Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacher. 415-420 - Gou-Jen Wang, Denny K. Miu:
Unsupervising adaption neural-network control. 421-428 - Dan Haesloop, Bradley R. Holt:
Neural networks for process identification. 429-434 - C. Aissi, M. F. Chouikha:
A new adaptive control algorithm based on signal characterization. 435-446 - Toshio Fukuda, Takanori Shibata, Masatoshi Tokita, Toyokazu Mitsuoka:
Neural network application for robotic motion control-adaptation and learning. 447-451 - Jürgen Hollatz, Bernd Schürmann:
The 'detailed balance' net: a stable asymmetric artificial neural system for unsupervised learning. 453-459 - Shaohua Tan, Lieven Vandenberghe, Joos Vandewalle:
Remarks on the stability of asymmetric dynamical neural networks. 461-467 - Harold H. Szu:
Hairy neuron convergence theorems without the precision of timing. 469-476 - Michael Lemmon, B. V. K. Vijaya Kumar:
Learning in competitively inhibited neural nets. 477-482 - John Moody:
Dynamics of lateral interaction networks. 483-486 - Jun Zhang:
Dynamical self-organization and formation of cortical maps. 487-492 - B. Baird:
A learning rule for CAM storage of continuous periodic sequences. 493-498 - G. W. Strong:
Solving the tag assignment problem for neural networks with simulated assemblies of minicolumns. 499-504 - Gianfranco Basti, Antonio L. Perrone, Valerio Cimagalli, Massimiliano Giona, Eros Pasero, Giovanna Morgavi:
A dynamic approach to invariant extraction from time-varying inputs by using chaos in neural nets. 505-510 - Hugo de Garis:
Genetic programming: building nanobrains with genetically programmed neural network modules. 511-516 - M. Vidyasagar:
Improved neural networks for analog to digital conversion. 517-522 - M. Vidyasagar:
An analysis of the flows of neural networks with linear interconnections. 523-528 - P. S. Prueitt:
Continuous analogs to discrete dynamical systems with application to modeling biological response. 529-534 - Moshe Leshno:
On the computational power of neural networks and neural automata. 535-540 - M. Benaim, M. Samuelides:
Dynamical properties of neural nets using competitive activation mechanisms. 541-546 - T. D. Kimura:
An algebraic proof for backpropagation in acyclic neural networks. 547-551 - Neil E. Cotter, Peter R. Conwell:
Fixed-weight networks can learn. 553-559 - N. McCulloch:
Recurrent networks for learning stochastic sequences. 561-566 - D. K. Milligan, Manissa J. Dobrée-Wilson:
Requirements for the synthesis of Boolean neural networks. 567-572 - M. R. Bastida, J. F. Nazuno:
Brownian motion theory as a physical foundation for feedback neural networks. 573-576 - A. Bouju, P. Bourret, C. Gaspin:
A global state driven cooling schema for simulated annealing used with Boltzman machine. 577-581 - Carol A. Niznik, Wayne Hoss, Charles Watts:
Computer networking topological and parametric representations for functional neural networks. 583-591 - N. Z. Hakim, J. J. Kaufman, Genevieve Cerf, H. E. Meadows:
A discrete-time neural network model for systems identification. 593-598 - G. M. Josin:
Response learning. 599-604 - S. Qian, Yee-Chun Lee, R. D. Jones, C. W. Barnes, K. Lee:
Function approximation with an orthogonal basis net. 605-619 - Peggy Israel, Cris Koutsougeras:
An annealing approach to associative recall in the CBM model. 633-638 - Gregor Schöner:
Information in a dynamic theory of behavioral patterns. 639-644 - P. Beek:
Knowing how to juggle: dynamical basis of a complex, learned skill. 1-0 - C. P. Browman, L. Goldstein:
Dynamically defined gestures in an articulatory phonology. 1-0 - Jonathan A. Marshall:
A self-organizing scale-sensitive neural network. 649-654 - P. N. Kugler:
Stationarity and nonstationarity in a self-organizing information system with primitive intentions. 1-0 - Markus F. Peschl:
A cognitive model coming up to epistemological claims: constructivist aspects to modeling cognition. 657-662 - Hong Feng Yin, Ju Wei Tai:
An associative memory model of language. 663-670 - Akihiro Hirai, Alexander Waibel:
Phoneme-based word recognition by neural network - a step toward large vocabulary recognition. 671-676 - S. Danielson:
Recognition of Danish phonemes using an artificial neural network. 677-682 - Marius Usher, Eytan Ruppin:
An attractor neural network model of semantic fact retrieval. 683-688 - Seiji Yoshimoto:
A study on artificial neural network generalization capability. 689-694 - Yuzo Hirai, Yasuyuki Tsukui:
Position independent neuro pattern matching and its application to handwritten numerical character recognition. 695-701 - Frédéric Guyot, Frédéric Alexandre, Jean-Paul Haton:
Principles and applications of the cortical column symbolic neural model. 703-708 - J. Barnden, K. Srinivas:
Dissolving variables in connectionist combinatory logic. 709-714 - Stuart R. Hameroff, H. Karampurwala, Steen Rasmussen:
Adaptive behavior in sub-neural microtubule automata. 715-720 - K. Shim:
Effect of long-term potentiation on the behavior of neural networks. 721-726 - Erik Sklar:
A simulation of somatosensory cortical map plasticity. 727-732 - M. Asogawa:
Adaptive input field neural network-that can recognize rotated and/or shifted character. 733-738 - Samuel J. Leven, Wesley R. Elsberry:
Interactions among embedded extensive networks under uncertainty. 739-745 - Eric I. Chang, Richard P. Lippmann, D. W. Tong:
Using genetic algorithms to select and create features for pattern classification. 747-752 - C.-H. Sung, D. Wilson:
Percognitron: Neocognitron coupled with perceptron. 753-758 - Chia-Yiu Maa, Michael A. Shanblatt:
Stability of linear programming neural network for problems with hypercube feasible region. 759-764 - Michail Zak, Nikzad Benny Toomarian, Jacob Barhen:
Creative dynamics approach to optimization problems. 765-773 - Benjamin J. Hellstrom, Laveen N. Kanal:
The definition of necessary hidden units in neural networks for combinatorial optimization. 775-780 - Eric Mjolsness, Charles Garrett, Willard L. Miranker:
Multiscale optimization in neural nets: preliminary report. 781-786 - Tai-Wen Yue, Li-Chen Fu:
Ineffectiveness in solving combinatorial optimization problems using a Hopfield network: a new perspective from aliasing effect. 787-792 - Wing Shing Wong, Cynthia A. Funka-Lea:
An elastic net solution to obstacle avoidance tour planning. 799-804 - Kegin Gao, M. Omair Ahmad, M. N. Shanmukha Swamy:
A neural network least-square estimator. 805-810 - Mohamad H. Hassoun, Ashvin J. Sanghvi:
Locally interconnected layered neural network for path optimization. 811-817 - Yasuo Matsuyama:
Competitive self-organization and combinatorial optimization: applications to traveling salesman problem. 819-824 - Hung-Chau Yau, Michael T. Manry:
Sigma-pi implementation of a Gaussian classifier. 825-830 - Shashank K. Mehta, Laszlo Fulop:
A neural algorithm to solve the Hamiltonian cycle problem. 843-849 - P. Bozovsky:
Discrete Hopfield model with graded response (analysis and applications). 851-856 - C. Gaspin:
Automatic translation of constraints for solving optimization problems by neural networks. 857-861 - Douglas A. Thomae, David E. van den Bout:
Encoding logical constraints into neural network cost functions. 863-868 - Shigeo Abe:
Convergence of the Hopfield neural networks with inequality constraints. 869-874 - P. Shi, Rabab K. Ward:
The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations. 875-882 - Robert Kalaba, James E. Moore II:
Linear programming and associative memory matrices. 883-888 - Deming N. Zhou, Vladimir Cherkassky, T. R. Baldwin, D. W. Hong:
Scaling neural network for job-shop scheduling. 889-894 - R. Helton:
A self-adaptive connectionist shortest-path algorithm utilizing relaxation methods. 895-901 - H. K. Brown, D. D. Cross, A. G. Whittaker:
Neural network number systems. 903-907 - Rui J. P. de Figueiredo:
An optimal matching-score net for pattern classification. 909-916 - Hans-Martin Adorf, Mark D. Johnston:
A discrete stochastic neural network algorithm for constraint satisfaction problems. 917-924 - G. Pitney, T. R. Smith, D. Greenwood:
Genetic design of processing elements for path planning networks. 925-932 - Kim L. Jones, Irvin J. Lustig, A. L. Kornhasuer:
Optimization techniques applied to neural networks: Line search implementation for back propagation. 933-939 - Valmir C. Barbosa, L. A. V. de Carvalho:
Feasible directions linear programming by neural networks. 941-946 - C. S. Jeong, M. H. Kim:
Fast parallel simulated annealing for traveling salesman problem. 947-953 - Aart Joppe, Helmut R. A. Cardon, Jan C. Bioch:
A neural network for solving the travelling salesman problem on the basis of city adjacency in the tour. 961-964 - N. Dodd:
Optimisation of network structure using genetic techniques. 965-970 - Daniele D. Caviglia, Maurizio Valle, Giacomo M. Bisio:
Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization. 631-637 - Subrata Goswami, D. Biswas, Pallab K. Bhattacharya, Jasprit Singh:
GaAs/AlGaAs based multiquantum well device for learning and decision making in optical neuro-computers. 795-802 - Z. Chen, H. Takei, A. Lewis:
Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin. 803-807 - Arun Rao, Lex A. Akers:
A retinomorphic VLSI smart sensor for invariant geometric object recognition. 949-954 - C.-K. Tsao, W.-C. Lin:
A constraint neural network for Huffman-Clowes scene labeling. 955-963 - B. Simic-Glavaski:
Molecular electronics and neural network functions. 809-812 - Judith E. Dayhoff:
Regularity properties in pulse transmission networks. 621-626 - David Nicoladie Tam:
Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network. 627-632 - Behzad Kamgar-Parsi, J. Anthony Gualtieri:
Solving inversion problems with neural networks. 955-960 - Keith R. L. Godfrey, Yiannis Attikiouzel:
Polar backpropagation [artificial neural networks]. 143-148 - Michael Lemmon, B. V. K. Vijaya Kumar:
Competitive learning's global search property. 837-842 - Yoshiyasu Takefuji, Kuo-Chun Lee, Toshimitsu Tanaka:
A two step sorting algorithm. 793-798
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