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IEEE Transactions on Neural Networks, Volume 3
Volume 3, Number 1, January 1992
- Nasser M. Nasrabadi, Chang Y. Choo:

Hopfield network for stereo vision correspondence. 5-13 - Chalapathy Neti, Michael H. Schneider, Eric D. Young

:
Maximally fault tolerant neural networks. 14-23 - Lasse Holmström, Petri Koistinen:

Using additive noise in back-propagation training. 24-38 - Marios M. Polycarpou, Petros A. Ioannou:

Learning and convergence analysis of neural-type structured networks. 39-50 - Mohamad H. Hassoun, Jing Song:

Adaptive Ho-Kashyap rules for perceptron training. 51-61 - Robert Christopher Lacher, Susan I. Hruska, David C. Kuncicky:

Back-propagation learning in expert networks. 62-72 - Brian A. White, Mohamed I. Elmasry:

The digi-neocognitron: a digital neocognitron neural network model for VLSI. 73-85 - Stefen Hui, Stanislaw H. Zak:

Dynamical analysis of the brain-state-in-a-box (BSB) neural models. 86-94 - Q. Henry Wu, B. W. Hogg, George W. Irwin:

A neural network regulator for turbogenerators. 95-100 - Jin-Young Choi, Chong-Ho Choi:

Sensitivity analysis of multilayer perceptron with differentiable activation functions. 101-107 - Badrinath Roysam, Anoop K. Bhattacharjya:

Hierarchically structured unit-simplex transformations for parallel distributed optimization problems. 108-114 - Yiu-fai Isaac Wong, Athanasios Sideris:

Learning convergence in the cerebellar model articulation controller. 115-121 - Si-Zhao Qin, Hong-Te Su, Thomas J. McAvoy:

Comparison of four neural net learning methods for dynamic system identification. 122-130 - Griff L. Bilbro, Wesley E. Snyder, Stephen J. Garnier, James W. Gault:

Mean field annealing: a formalism for constructing GNC-like algorithms. 131-138 - Kuo Chun Lee, Nobuo Funabiki, Yoshiyasu Takefuji

:
A parallel improvement algorithm for the bipartite subgraph problem. 139-145 - Manvan A. Jabri, Xiaoquan Li:

Predicting the number of contacts and dimensions of full-custom integrated circuit blocks using neural network techniques. 146-153 - Marwan A. Jabri, Barry Flower:

Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks. 154-157
Volume 3, Number 2, March 1992
- Michael Lemmon, B. V. K. Vijaya Kumar

:
Competitive learning with generalized winner-take-all activation. 167-175 - Donald L. Gray, Anthony N. Michel:

A training algorithm for binary feedforward neural networks. 176-194 - Dov Ingman, Yoram Merlis:

Maximum entropy signal reconstruction with neural networks. 195-201 - Peter L. Bartlett

, Tom Downs:
Using random weights to train multilayer networks of hard-limiting units. 202-210 - Seong-Gon Kong, Bart Kosko:

Adaptive fuzzy systems for backing up a truck-and-trailer. 211-223 - Yoshiaki Ichikawa, Toshiyuki Sawa:

Neural network application for direct feedback controllers. 224-231 - Etienne Barnard

:
Optimization for training neural nets. 232-240 - Stavros J. Perantonis, Paulo J. G. Lisboa:

Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers. 241-251 - Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe:

Global optimization of a neural network-hidden Markov model hybrid. 252-259 - Shun-ichi Amari, Koji Kurata, Hiroshi Nagaoka:

Information geometry of Boltzmann machines. 260-271 - Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda, Toshihisa Kosaka:

Rotation-invariant neural pattern recognition system with application to coin recognition. 272-279 - Krzysztof J. Cios, Liu Ning:

A machine learning method for generation of a neural network architecture: a continuous ID3 algorithm. 280-291 - D. A. Hoskins, Jenq-Neng Hwang, Juris Vagners:

Iterative inversion of neural networks and its application to adaptive control. 292-301 - Benjamin J. Hellstrom, Laveen N. Kanal:

Knapsack packing networks. 302-307 - Neil E. Cotter, Omar N. Mian:

A pulsed neural network capable of universal approximation. 308-314 - Sam-Kit Sin, Rui J. P. deFigueiredo:

An evolution-oriented learning algorithm for the optimal interpolative net. 315-323 - Frank Z. Brill, Donald E. Brown, Worthy N. Martin:

Fast generic selection of features for neural network classifiers. 324-328 - S. Gavin Smyth:

Designing multilayer perceptrons from nearest-neighbor systems. 329-333 - Yun Xie, Marwan A. Jabri:

Analysis of the effects of quantization in multilayer neural networks using a statistical model. 334-338 - Li-Xin Wang:

A neural detector for seismic reflectivity sequences. 338-340
Volume 3, Number 3, May 1992
- David A. Durfee, F. S. Shoucair:

Comparison of floating gate neural network memory cells in standard VLSI CMOS technology. 347-353 - Lloyd W. Massengill, David Bryan Mundie:

An analog neural hardware implementation using charge-injection multipliers and neutron-specific gain control. 354-362 - Mark R. DeYong, Randall L. Findley, Chris Fields:

The design, fabrication, and test of a new VLSI hybrid analog-digital neural processing element. 363-374 - Matthew S. Melton, Tan Phan, Douglas S. Reeves, David E. van den Bout:

The TInMANN VLSI chip. 375-384 - Alister Hamilton

, Alan F. Murray, Donald J. Baxter, Stephen Churcher, H. Martin Reekie, Lionel Tarassenko:
Integrated pulse stream neural networks: results, issues, and pointers. 385-393 - Gyu Moon, Mona E. Zaghloul

, Robert W. Newcomb:
VLSI implementation of synaptic weighting and summing in pulse coded neural-type cells. 394-403 - Ashok V. Krishnamoorthy, Gökçe I. Yayla, Sadik C. Esener:

A scalable optoelectronic neural system using free-space optical interconnects. 404-413 - Nicolas Mauduit, Marc Duranton, Jean Gobert, Jacques Ariel Sirat:

Lneuro 1.0: a piece of hardware LEGO for building neural network systems. 414-422 - Michael L. Mumford, David K. Andes

, Lynn L. Kern:
The Mod 2 Neurocomputer system design. 423-433 - Yoshikazu Kondo, Yasuji Sawada:

Functional abilities of a stochastic logic neural network. 434-443 - Moises E. Robinson, Hideki Yoneda, Edgar Sánchez-Sinencio:

A modular CMOS design of a Hamming network. 444-456 - Jerzy B. Lont, Walter Guggenbühl:

Analog CMOS implementation of a multilayer perceptron with nonlinear synapses. 457-465 - Hubert Harrer, Josef A. Nossek, Rudolf Stelzl:

An analog implementation of discrete-time cellular neural networks. 466-476 - Weimin Liu, Andreas G. Andreou, Moise H. Goldstein Jr.:

Voiced-speech representation by an analog silicon model of the auditory periphery. 477-487 - Gert Cauwenberghs

, Charles F. Neugebauer, Amnon Yariv:
Analysis and verification of an analog VLSI incremental outer-product learning system. 488-497 - Eduard Säckinger, Bernhard E. Boser, Jane Bromley, Yann LeCun, Lawrence D. Jackel:

Application of the ANNA neural network chip to high-speed character recognition. 498-505 - Wai-Chi Fang, Bing J. Sheu, Oscal T.-C. Chen, Joongho Choi:

A VLSI neural processor for image data compression using self-organization networks. 506-518
Volume 3, Number 4, July 1992
- Anne Johannet

, Léon Personnaz, Gérard Dreyfus, Jean-Dominique Gascuel, Michel Weinfeld:
Specification and implementation of a digital Hopfield-type associative memory with on-chip training. 529-539 - Takashi Matsumoto, Haruo Kobayashi, Yoshio Togawa:

Spatial versus temporal stability issues in image processing neuro chips. 540-569 - Hans-Ulrich Bauer, Klaus R. Pawelzik:

Quantifying the neighborhood preservation of self-organizing feature maps. 570-579 - Chia-Yiu Maa, Michael A. Shanblatt:

Linear and quadratic programming neural network analysis. 580-594 - Takayuki Yamada, Tetsuro Yabuta

:
Neural network controller using autotuning method for nonlinear functions. 595-601 - Markus Höhfeld, Scott E. Fahlman:

Learning with limited numerical precision using the cascade-correlation algorithm. 602-611 - William Byrne:

Alternating minimization and Boltzmann machine learning. 612-620 - Shlomo Geva

, Joaquin Sitte:
A constructive method for multivariate function approximation by multilayer perceptrons. 621-624 - James A. Leonard, Mark A. Kramer, Lyle H. Ungar:

Using radial basis functions to approximate a function and its error bounds. 624-627 - Gian Paolo Drago, Sandro Ridella

:
Statistically controlled activation weight initialization (SCAWI). 627-631
Volume 3, Number 5, September 1992
- Rajesh N. Davé

, Kurra Bhaswan:
Adaptive fuzzy c-shells clustering and detection of ellipses. 643-662 - Raghu Krishnapuram, Olfa Nasraoui

, Hichem Frigui:
The fuzzy c spherical shells algorithm: A new approach. 663-671 - Lawrence O. Hall, Amine Bensaid, Laurence P. Clarke, Robert P. Velthuizen, Martin L. Silbiger, James C. Bezdek:

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. 672-682 - Sankar K. Pal, Sushmita Mitra

:
Multilayer perceptron, fuzzy sets, and classification. 683-697 - Gail A. Carpenter, Stephen Grossberg, Natalya Markuzon, John H. Reynolds, David B. Rosen:

Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps. 698-713 - Jyh-Shing Roger Jang

:
Self-learning fuzzy controllers based on temporal backpropagation. 714-723 - Hamid R. Berenji, Pratap S. Khedkar:

Learning and tuning fuzzy logic controllers through reinforcements. 724-740 - Hiroshi Narazaki, Anca L. Ralescu:

A connectionist approach for rule-based inference using an improved relaxation method. 741-751 - Hideyuki Takagi

, Noriyuki Suzuki, Toshiyuki Koda, Yoshihiro Kojima:
Neural networks designed on approximate reasoning architecture and their applications. 752-760 - James M. Keller, Raghu Krishnapuram, Frank Chung-Hoon Rhee:

Evidence aggregation networks for fuzzy logic inference. 761-769 - Witold Pedrycz:

Fuzzy neural networks with reference neurons as pattern classifiers. 770-775 - Patrick K. Simpson:

Fuzzy min-max neural networks. I. Classification. 776-786 - James C. Bezdek, Richard J. Hathaway:

Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm. 787-793 - Scott C. Newton, Surya Pemmaraju, Sunanda Mitra:

Adaptive fuzzy leader clustering of complex data sets in pattern recognition. 794-800 - Shin-ichi Horikawa, Takeshi Furuhashi, Yoshiki Uchikawa:

On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm. 801-806 - Li-Xin Wang, Jerry M. Mendel:

Fuzzy basis functions, universal approximation, and orthogonal least-squares learning. 807-814 - Patrik Eklund

, Frank Klawonn
:
Neural fuzzy logic programming. 815-818 - A. F. Rocha, Ivan Rizzo Guilherme, M. Theoto, A. M. K. Miyadahira, M. S. Koizumi:

A neural net for extracting knowledge from natural language data bases. 819-828
Volume 3, Number 6, November 1992
- Robert M. Sanner, Jean-Jacques E. Slotine:

Gaussian networks for direct adaptive control. 837-863 - Martin G. Bello:

Enhanced training algorithms, and integrated training/architecture selection for multilayer perceptron networks. 864-875 - Yoshiji Fujimoto, Naoyuki Fukuda, Toshio Akabane:

Massively parallel architectures for large scale neural network simulations. 876-888 - Qinghua Zhang, Albert Benveniste:

Wavelet networks. 889-898 - Lodewyk F. A. Wessels, Etienne Barnard

:
Avoiding false local minima by proper initialization of connections. 899-905 - Frank W. Jr. Adams, H. T. Nguyen, Raghu Raghavan, Joseph Slawny:

A parallel network for visual cognition. 906-922 - Heng Guo, Saul B. Gelfand:

Classification trees with neural network feature extraction. 923-933 - Gerald G. Pechanek, Stamatis Vassiliadis, José G. Delgado-Frias

:
Digital neural emulators using tree accumulation and communication structures. 934-950 - Yash Shrivastava, Soura Dasgupta, Sudhakar M. Reddy:

Guaranteed convergence in a class of Hopfield networks. 951-961 - Stefan Knerr, Léon Personnaz, Gérard Dreyfus:

Handwritten digit recognition by neural networks with single-layer training. 962-968 - Pau-Choo Chung, Thomas F. Krile:

Characteristics of Hebbian-type associative memories having faulty interconnections. 969-980 - Eduardo D. Sontag:

Feedback stabilization using two-hidden-layer nets. 981-990 - Harris Drucker, Yann LeCun:

Improving generalization performance using double backpropagation. 991-997 - Piotr Berman, Ian Parberry

, Georg Schnitger:
A note on the complexity of reliability in neural networks. 998-1002 - Chia-Yiu Maa, Michael A. Shanblatt:

A two-phase optimization neural network. 1003-1009 - Tao Wang, Xinhua Zhuang, Xiaoliang Xing:

Weighted learning of bidirectional associative memories by global minimization. 1010-1018 - Xiao-Hu Yu

:
Can backpropagation error surface not have local minima. 1019-1021 - Shengwei Zhang, Xianing Zhu, Li-He Zou:

Second-order neural nets for constrained optimization. 1021-1024 - Kamyar Rohani, Mu-Song Chen, Michael T. Manry:

Neural subnet design by direct polynomial mapping. 1024-1026 - Etienne Barnard

, Fumio Kanaya, Shigeki Miyake:
Comments on 'Bayes statistical behavior and valid generalization of pattern classifying neural networks' [with reply]. 1026-1027 - Barak A. Pearlmutter

, P. Sanatchandran:
Comments on 'Dynamic programming approach to optimal weight selection in multilayer neural networks' [with reply]. 1028-1029

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