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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, C. 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, C. 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, J. Coleman, Michael A. Fiddy:
A neural network based matrix inversion algorithm. 467-470 - S. 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 - C. H. 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, P. 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, I. 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 Fernandez:
ASDM-a novel neural network model based on sparse distributed memory. 771-776