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ORCIDIEEE Transactions on Neural Networks, Volume 9
Volume 9, Number 1, January 1998
- Robert L. Coultrip:
A CMOS binary pattern classifier based on Parzen's method. 2-10 - Sheng Ma, Chuanyi Ji:
Fast training of recurrent networks based on the EM algorithm. 11-26 - Jose R. Noriega-Luna
, Hong Wang:
A direct adaptive neural-network control for unknown nonlinear systems and its application. 27-34 - Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik:
Cross-validation with active pattern selection for neural-network classifiers. 35-41 - David Burshtein:
Long-term attraction in higher order neural networks. 42-50 - Abraham Schultz, Harry Wechsler:
A discrete dynamics model for synchronization of pulse-coupled oscillators. 51-57 - Tianping Chen, Yingbo Hua, Wei-Yong Yan:
Global convergence of Oja's subspace algorithm for principal component extraction. 58-67 - Ali A. Ghorbani, Virendra C. Bhavsar:
Incremental communication for multilayer neural networks: error analysis. 68-82 - Yan-Qing Zhang, Abraham Kandel:
Compensatory neurofuzzy systems with fast learning algorithms. 83-105 - Yasuo Matsuyama:
Multiple descent cost competition: restorable self-organization and multimedia information processing. 106-122 - Zied Malouche, Odile Macchi:
Adaptive unsupervised extraction of one component of a linear mixture with a single neuron. 123-138 - Manuel Fernández Delgado, Senén Barro:
MART: a multichannel ART-based neural network. 139-150 - LiMin Fu:
Learning in certainty-factor-based multilayer neural networks for classification. 151-158 - Jonathan S. Kane:
A smart pixel-based feedforward neural network. 159-164 - Edward C. Malthouse:
Limitations of nonlinear PCA as performed with generic neural networks. 165-173 - Claudia Diamantini, Arnaldo Spalvieri:
Quantizing for minimum average misclassification risk. 174-182 - Jun Wang, Youshen Xia:
Analysis and design of primal-dual assignment networks. 183-194 - Michael J. Healy, Thomas P. Caudell:
Guaranteed two-pass convergence for supervised and inferential learning. 195-204 - Sidney S. Fels, Geoffrey E. Hinton:
Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls. 205-212 - Blake LeBaron, Andreas S. Weigend:
A bootstrap evaluation of the effect of data splitting on financial time series. 213-220 - Chunhai Hou, Jixin Qian:
Stability analysis for neural dynamics with time-varying delays. 221-223 - Guang-Bin Huang, Haroon A. Babri:
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. 224-229 - Howard C. Card:
Doubly stochastic Poisson processes in artificial neural learning. 229-231 - Khashayar Pakdaman, C. P. Malta:
A note on convergence under dynamical thresholds with delays. 231-233 - Sanjoy Das:
Elements Of Artificial Neural Networks [Book Reviews]. 234-235
Volume 9, Number 2, March 1998
- Angelo Bernardini, Silvia De Fina:
Optimal decision boundaries for M-QAM signal formats using neural classifiers. 241-246 - Adam Krzyzak, Tamás Linder:
Radial basis function networks and complexity regularization in function learning. 247-256 - Robert Rae, Helge J. Ritter:
Recognition of human head orientation based on artificial neural networks. 257-265 - Jen-Lun Yuan, Terrence L. Fine:
Neural-network design for small training sets of high dimension. 266-280 - Gerhard X. Ritter, Peter Sussner, Juan Luis Díaz-de-León S.:
Morphological associative memories. 281-293 - Yi-Jen Wang, Chin-Teng Lin:
Runge-Kutta neural network for identification of dynamical systems in high accuracy. 294-307 - Yingwei Lu, N. Sundararajan, P. Saratchandran:
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. 308-318 - Chanchal Chatterjee, Vwani P. Roychowdhury, Edwin K. P. Chong:
On relative convergence properties of principal component analysis algorithms. 319-329 - Dominique Martinez:
Neural tree density estimation for novelty detection. 330-338 - B. Ph. van Milligen, Victor Tribaldos, J. A. Jimenez, Carlos Santa Cruz:
Comments on "Accelerated learning algorithm for multilayer perceptrons: optimization layer by layer". 339-341 - Yong Gao, Xiaofeng Qi, Francesco Palmieri:
Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [and reply]. 341-343 - Xiaofeng Qi, Francesco Palmieri:
Authors' Reply. 342-343
Volume 9, Number 3, May 1998
- F. Shiratani, K. Yamamoto:
Deterministic annealing techniques for a discrete-time neural-network updating in a block-sequential mode. 345-353 - M. K. Sudareshan, T. A. Condarcure:
Recurrent neural-network training by a learning automaton approach for trajectory learning and control system design. 354-368 - Hee-Heon Song, Seong-Whan Lee:
A self-organizing neural tree for large-set pattern classification. 369-380 - Renato De Leone, Rosario Capparuccia, Emanuela Merelli:
A successive overrelaxation backpropagation algorithm for neural-network training. 381-388 - Javed I. Khan:
Characteristics of multidimensional holographic associative memory in retrieval with dynamically localizable attention. 389-406 - Songwu Lu, Tamer Basar:
Robust nonlinear system identification using neural-network models. 407-429 - Ki H. Chon, Niels-Henrik Holstein-Rathlou, Donald J. Marsh, Vasilis Z. Marmarelis:
Comparative nonlinear modeling of renal autoregulation in rats: Volterra approach versus artificial neural networks. 430-435 - Konstantinos I. Diamantaras, Michael G. Strintzis:
Neural classifiers using one-time updating. 436-447 - Guian Zhou, Jennie Si:
Advanced neural-network training algorithm with reduced complexity based on Jacobian deficiency. 448-453 - Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, Abinash C. Dubey, Ned H. Witherspoon:
Detection of mines and minelike targets using principal component and neural-network methods. 454-463 - Yocheved Dotan, Nathan Intrator:
Multimodality exploration by an unsupervised projection pursuit neural network. 464-472 - Scott Weaver, Leemon C. Baird III, Marios M. Polycarpou:
An analytical framework for local feedforward networks. 473-482 - V. Chandrasekaran, Zhi-Qiang Liu:
Topology constraint free fuzzy gated neural networks for pattern recognition. 483-502 - C. Amerijckx, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Image compression by self-organized Kohonen map. 503-507 - Damon A. Miller, Jacek M. Zurada:
A dynamical system perspective of structural learning with forgetting. 508-515 - P. P. Raghu, B. Yegnanarayana:
Supervised texture classification using a probabilistic neural network and constraint satisfaction model. 516-522 - Paul S. Linsay, DeLiang L. Wang:
Fast numerical integration of relaxation oscillator networks based on singular limit solutions. 523-532 - Catherine Z. W. Hassell Sweatman, Bernard Mulgrew, Gavin J. Gibson:
Two algorithms for neural-network design and training with application to channel equalization. 533-543 - Thomas Frank, Karl-Friedrich Kraiss, Torsten W. Kuhlen:
Comparative analysis of fuzzy ART and ART-2A network clustering performance. 544-559 - George Bebis, Michael Georgiopoulos, Niels da Vitoria Lobo:
Using self-organizing maps to learn geometric hash functions for model-based object recognition. 560-570 - Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda:
Inductive inference from noisy examples using the hybrid finite state filter. 571-575 - Berthold Ruf, Michael Schmitt:
Self-organization of spiking neurons using action potential timing. 575-578
Volume 9, Number 4, July 1998
- Chiman Kwan, Frank L. Lewis, Darren M. Dawson:
Robust neural-network control of rigid-link electrically driven robots. 581-588 - Rafael Fierro, Frank L. Lewis:
Control of a nonholonomic mobile robot using neural networks. 589-600 - Witold Pedrycz:
Conditional fuzzy clustering in the design of radial basis function neural networks. 601-612 - Rüdiger W. Brause, M. Rippl:
Noise suppressing sensor encoding and neural signal orthonormalization. 613-628 - Marcelo C. M. Teixeira, Stanislaw H. Zak:
Analog neural nonderivative optimizers. 629-638 - Dirk Ormoneit, Volker Tresp:
Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. 639-650 - Antonio C. Ruiz, David H. Owens, Stuart Townley:
Existence, learning, and replication of periodic motions in recurrent neural networks. 651-661 - Nick K. Treadgold, Tamás D. Gedeon:
Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm. 662-668 - Seán F. McLoone, M. D. Brown, George W. Irwin, Gordon Lightbody:
A hybrid linear/nonlinear training algorithm for feedforward neural networks. 669-684 - Claus Nebauer:
Evaluation of convolutional neural networks for visual recognition. 685-696 - Lipo Wang:
Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations. 697-704 - Friedrich T. Sommer, Peter Dayan:
Bayesian retrieval in associative memories with storage errors. 705-713 - Guang-Bin Huang, Haroon A. Babri:
Comments on "Approximation capability in C(Rn) by multilayer feedforward networks and related problems". 714-715 - Lipo Wang, Kate A. Smith:
On chaotic simulated annealing. 716-718 - Oh Jun Kwon, Sung Yang Bang, Günhan Dündar, K. Rose:
Comments on "The effects of quantization on multilayer neural networks" [and reply]. 718-719 - Günhan Dündar, K. Rose:
Authors' Reply. 719-719
Volume 9, Number 5, September 1998
- C. Lee Giles, R. Sun, Jacek M. Zurada:
Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications. 721-723 - Andrea Baraldi, Palma Blonda, Flavio Parmiggiani, Guido Pasquariello, Giuseppe Satalino:
Model transitions in descending FLVQ. 724-738 - Samuel W. K. Chan, James Franklin:
Symbolic connectionism in natural language disambiguation. 739-755 - Wael A. Farag, Victor H. Quintana, Germano Lambert-Torres:
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems. 756-767 - Paolo Frasconi, Marco Gori, Alessandro Sperduti:
A general framework for adaptive processing of data structures. 768-786 - LiMin Fu:
A neural-network model for learning domain rules based on its activation function characteristics. 787-795 - Jérôme Kodjabachian, Jean-Arcady Meyer:
Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects. 796-812 - Miroslav Kubat:
Decision trees can initialize radial-basis function networks. 813-821 - Rajeev Kumar, Peter I. Rockett:
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy. 822-830 - Ricardo José Machado, Valmir Carneiro Barbosa, Paulo Alexandre Neves:
Learning in the combinatorial neural model. 831-847 - M. Meneganti, F. S. Saviello, Roberto Tagliaferri:
Fuzzy neural networks for classification and detection of anomalies. 848-861 - Vassilios Petridis, E. Paterakis, Athanasios Kehagias:
A hybrid neural-genetic multimodel parameter estimation algorithm. 862-876 - Vassilios Petridis, Vassilis G. Kaburlasos:
Fuzzy lattice neural network (FLNN): a hybrid model for learning. 877-890 - Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi:
Synthesis of fault-tolerant feedforward neural networks using minimax optimization. 891-900 - Jui-Cheng Yen, Jiun-In Guo, Hun-Chen Chen:
A new k-winners-take-all neural network and its array architecture. 901-912 - Soumitra Das, Oluseyi Olurotimi:
Noisy recurrent neural networks: the continuous-time case. 913-936 - Oluseyi Olurotimi, Soumitra Das:
Noisy recurrent neural networks: the discrete-time case. 937-946 - Zhihong Man, Hong Ren Wu, Marimuthu Palaniswami:
An adaptive tracking controller using neural networks for a class of nonlinear systems. 947-955 - Fuchun Sun, Zengqi Sun, Peng-Yung Woo:
Stable neural-network-based adaptive control for sampled-data nonlinear systems. 956-968 - V. E. Maiorov, R. S. Meir:
Approximation bounds for smooth functions in C(Rd) by neural and mixture networks. 969-978 - Louiza Sellami, Robert W. Newcomb:
An inverse Hollis-Paulos artificial neural network. 979-986 - Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis:
Artificial neural networks for solving ordinary and partial differential equations. 987-1000 - Jay A. Farrell:
On performance evaluation in online approximation for control. 1001-1007 - Jay A. Farrell:
Stability and approximator convergence in nonparametric nonlinear adaptive control. 1008-1020 - Torbjørn Eltoft, Rui J. P. deFigueiredo:
A new neural network for cluster-detection-and-labeling. 1021-1035 - Stamatios V. Kartalopoulos:
An associative RAM-based CAM and its application to broadband communications systems. 1036-1041 - Xiaofeng Liao, Juebang Yu:
Robust stability for interval Hopfield neural networks with time delay. 1042-1045 - Chun-Liang Lin:
Control of perturbed systems using neural networks. 1046-1050 - Marco Gori, Ah Chung Tsoi:
Comments on local minima free conditions in multilayer perceptrons. 1051-1053 - Richard S. Sutton, Andrew G. Barto:
Reinforcement Learning: An Introduction. 1054-1054 - James A. Anderson, Edward Rosenfield:
Talking Nets: An Oral History Of Neural Networks. 1054-1054
Volume 9, Number 6, November 1998
- Alan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich:
The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. 1057-1068 - Claudio Turchetti, Massimo Conti, Paolo Crippa, Simone Orcioni:
On the approximation of stochastic processes by approximate identity neural networks. 1069-1085 - Marco Gori, Franco Scarselli, Ah Chung Tsoi:
On the closure of the set of functions that can be realized by a given multilayer perceptron. 1086-1098 - Guoyin Wang, Hongbao Shi:
TMLNN: triple-valued or multiple-valued logic neural network. 1099-1117 - Sorin Cotofana, Stamatis Vassiliadis:
Periodic symmetric functions, serial addition, and multiplication with neural networks. 1118-1128 - Don R. Hush, Bill G. Horne:
Efficient algorithms for function approximation with piecewise linear sigmoidal networks. 1129-1141 - Nikhil R. Pal, Vijay K. Eluri:
Two efficient connectionist schemes for structure preserving dimensionality reduction. 1142-1154 - Andrew R. Webb, Simon Shannon:
Shape-adaptive radial basis functions. 1155-1166 - Benedito Dias Baptista F. Filho, Eduardo Lobo Lustosa Cabral, Adalberto Jose Soares:
A new approach to artificial neural networks. 1167-1179 - Steven Young, Tom Downs:
CARVE-a constructive algorithm for real-valued examples. 1180-1190 - Haruhisa Takahashi, Hanzhong Gu:
A tight bound on concept learning. 1191-1202 - Mohua Banerjee, Sushmita Mitra, Sankar K. Pal:
Rough fuzzy MLP: knowledge encoding and classification. 1203-1216 - Ron Sun, Todd Peterson:
Autonomous learning of sequential tasks: experiments and analyses. 1217-1234 - W. C. Chu, N. K. Bose:
Vector quantization of neural networks. 1235-1245 - Jean Pierre Delmas, Jean-François Cardoso:
Asymptotic distributions associated to Oja's learning equation for neural networks. 1246-1257 - Clifford Sze-Tsan Choy, Wan-Chi Siu:
A class of competitive learning models which avoids neuron underutilization problem. 1258-1269 - Karin Haese:
Self-organizing feature maps with self-adjusting learning parameters. 1270-1278 - Dietmar Heinke, Fred H. Hamker:
Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP. 1279-1291 - Gangsheng Wang, Nirwan Ansari:
Searching for optimal frame patterns in an integrated TDMA communication system using mean field annealing. 1292-1300 - Kate A. Smith, Marimuthu Palaniswami, Mohan Krishnamoorthy:
Neural techniques for combinatorial optimization with applications. 1301-1318 - Satoshi Matsuda:
"Optimal" Hopfield network for combinatorial optimization with linear cost function. 1319-1330 - Youshen Xia, Jun Wang:
A general methodology for designing globally convergent optimization neural networks. 1331-1343 - María José Pérez-Ilzarbe:
Convergence analysis of a discrete-time recurrent neural network to perform quadratic real optimization with bound constraints. 1344-1351 - Sven Behnke, Nicolaos B. Karayiannis:
Competitive neural trees for pattern classification. 1352-1369 - Carlos Santa Cruz, José R. Dorronsoro:
A nonlinear discriminant algorithm for feature extraction and data classification. 1370-1376 - Si Wu, K. Y. Michael Wong:
Dynamic overload control for distributed call processors using the neural network method. 1377-1387 - Thomas Parisini, Riccardo Zoppoli:
Neural approximations for infinite-horizon optimal control of nonlinear stochastic systems. 1388-1408 - Shouling He, Konrad Reif, Rolf Unbehauen:
A neural approach for control of nonlinear systems with feedback linearization. 1409-1421 - Suttipan Limanond, Jennie Si:
Neural network-based control design: an LMI approach. 1422-1429 - Sin-Horng Chen, Yuan-Fu Liao:
Modular recurrent neural networks for Mandarin syllable recognition. 1430-1441 - Cheolwoo You, Daesik Hong:
Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks. 1442-1455 - Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II:
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks. 1456-1470 - Amir B. Geva:
ScaleNet-multiscale neural-network architecture for time series prediction. 1471-1482 - Luigi Raffo, Silvio P. Sabatini, Gian Marco Bo, Giacomo M. Bisio:
Analog VLSI circuits as physical structures for perception in early visual tasks. 1483-1494 - Mark A. Girolami, Andrzej Cichocki, Shun-ichi Amari:
A common neural-network model for unsupervised exploratory data analysis and independent component analysis. 1495-1501 - Satoshi Yamada, Michio Nakashima, Satoru Shiono:
Reinforcement learning to train a cooperative network with both discrete and continuous output neurons. 1502-1508 - Francisco Javier González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez:
Generalizing CMAC architecture and training. 1509-1514 - R. B. Chinman, J. Ding:
Prediction limit estimation for neural network models. 1515-1522 - Nobuo Funabiki, Junji Kitamichi:
A gradual neural-network algorithm for jointly time-slot/code assignment problems in packet radio networks. 1523-1528 - H. C. Anderson, Ahmad Lotfi, L. C. Westphal, J. R. Jang:
Comments on "Functional equivalence between radial basis function networks and fuzzy inference systems" [and reply]. 1529-1532 - Jyh-Shing Roger Jang:
Author's Reply. 1531-1532 - Andrea Baraldi, Palma Blonda, Flavio Parmiggiani, Guido Pasquariello, Giuseppe Satalino:
Errata to "Model Transitions in Descending FLVQ". 1532-1532 - Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski:
Data Mining Methods for Knowledge Discovery. 1533-1534
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