default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Neural Networks, Volume 2
Volume 2, Number 1, January 1991
- Eric B. Baum:
Neural net algorithms that learn in polynomial time from examples and queries. 5-19 - Kumpati S. Narendra, Snehasis Mukhopadhyay:
Associative learning in random environments using neural networks. 20-31 - Anthony N. Michel, Jie Si, Gune Yen:
Analysis and synthesis of a class of discrete-time neural networks described on hypercubes. 32-46 - Shih-Chi Huang, Yih-Fang Huang:
Bounds on the number of hidden neurons in multilayer perceptrons. 47-55 - Michael I. Miller, Badrinath Roysam, Kurt R. Smith, Joseph A. O'Sullivan
:
Representing and computing regular languages on massively parallel networks. 56-72 - Li-Xin Wang, Jerry M. Mendel:
Cumulant-based parameter estimation using structured networks. 73-83 - Wei-Chung Lin, Fong-Yuan Liao, Chen-Kuo Tsao, Theresa Lingutla:
A hierarchical multiple-view approach to three-dimensional object recognition. 84-92 - Michael B. Leahy Jr., Mark A. Johnson, Steven K. Rogers:
Neural network payload estimation for adaptive robot control. 93-100 - Jack L. Meador, Angus Wu, Clint S. Cole, Novat Nintunze, Pichet Chintrakulchai:
Programmable impulse neural circuits. 101-109 - Robert C. Frye, Edward A. Rietman, Chee C. Wong:
Back-propagation learning and nonidealities in analog neural network hardware. 110-117 - Seong-Gon Kong, Bart Kosko:
Differential competitive learning for centroid estimation and phoneme recognition. 118-124 - Pietro Burrascano:
A norm selection criterion for the generalized delta rule. 125-130 - Jenq-Neng Hwang, Jai J. Choi, Seho Oh, Robert J. Marks II:
Query-based learning applied to partially trained multilayer perceptrons. 131-136 - Bang W. Lee, Bing J. Sheu:
Modified Hopfield neural networks for retrieving the optimal solution. 137-142 - Mike Livesey:
Clamping in Boltzmann machines. 143-148 - Tien-Ren Tsao, Haw-Jye Shyu, John M. Libert, Victor C. Chen:
A Lie group approach to a neural system for three-dimensional interpretation of visual motion. 149-155 - Jaroslav Stark:
A neural network to compute the Hutchinson metric in fractal image processing. 156-158 - Patrick A. Shoemaker:
A note on least-squares learning procedures and classification by neural network models. 158-160 - Seho Oh, Robert J. Marks II:
Dispersive propagation skew effects in iterative neural networks. 160-162 - Heidar A. Malki, Alireza Moghaddamjoo:
Using the Karhunen-Loe've transformation in the back-propagation training algorithm. 162-165 - Yves Crama, Pierre Hansen, Brigitte Jaumard:
Detection of spurious states of neural networks. 165-168 - David Bryan Mundie, Lloyd W. Massengill:
Weight decay and resolution effects in feedforward artificial neural networks. 168-170 - Fathi M. A. Salam, Shi Bai:
A new feedback neural network with supervised learning. 170-173 - Helge J. Ritter:
Asymptotic level density for a class of vector quantization processes. 173-175 - Deming N. Zhou, Vladimir Cherkassky, T. R. Baldwin, D. E. Olson:
A neural network approach to job-shop scheduling. 175-179
Volume 2, Number 2, March 1991
- Alan F. Murray, Dante Del Corso, Lionel Tarassenko:
Pulse-stream VLSI neural networks mixing analog and digital techniques. 193-204 - Andreas G. Andreou, Kwabena A. Boahen, Philippe O. Pouliquen, Aleksandra Pavasovic, Robert E. Jenkins, Kim Strohbehn:
Current-mode subthreshold MOS circuits for analog VLSI neural systems. 205-213 - Suan W. Tsay, Robert W. Newcomb:
VLSI implementation of ART1 memories. 214-221 - William A. Fisher, Robert J. Fujimoto, Robert C. Smithson:
A programmable analog neural network processor. 222-229 - Carver Mead, Xavier Arreguit, John Lazzaro:
Analog VLSI model of binaural hearing. 230-236 - Andrew W. Moore, John Allman, Rodney M. Goodman:
A real-time neural system for color constancy. 237-247 - Stephen P. DeWeerth, Lars Nielsen, Carver Mead, Karl Johan Åström:
A simple neuron servo. 248-251 - Kumpati S. Narendra, Kannan Parthasarathy:
Gradient methods for the optimization of dynamical systems containing neural networks. 252-262 - Eric Mjolsness, Charles Garrett, Willard L. Miranker:
Multiscale optimization in neural nets. 263-274 - Tzi-Dar Chiueh, Rodney M. Goodman:
Recurrent correlation associative memories. 275-284 - Terence D. Sanger:
A tree-structured adaptive network for function approximation in high-dimensional spaces. 285-293 - Terry Troudet, Walter C. Merrill:
Neuromorphic learning of continuous-valued mappings from noise-corrupted data. 294-301 - Shang-Liang Chen, Colin F. N. Cowan, Peter M. Grant:
Orthogonal least squares learning algorithm for radial basis function networks. 302-309 - William J. Wolfe, Donald Mathis, Charlie Anderson, Jay A. Rothman, Michael Gottler, George Brady, R. Walker, G. Duane, Gila Alaghband:
K-winner networks. 310-315 - George Nagy:
Neural networks-then and now. 316-318 - Shlomo Geva, Joaquin Sitte:
Adaptive nearest neighbor pattern classification. 318-322 - Etienne Barnard:
Performance and generalization of the classification figure of merit criterion function. 322-325 - Stefen Hui, Stanislaw H. Zak:
Robust stability analysis of adaptation algorithms for single perceptron. 325-328 - Evan W. Steeg, Yoshiyasu Takefuji, Kuo Chun Lee:
Comments on 'Parallel algorithms for finding a near-maximum independent set of a circle graph' [with reply]. 328-329
Volume 2, Number 3, May 1991
- Dong-Chul Park, Mohamed A. El-Sharkawi, Robert J. Marks II:
An adaptively trained neural network. 334-345 - Richard P. Brent:
Fast training algorithms for multilayer neural nets. 346-354 - Kunihiko Fukushima, Nobuaki Wake:
Handwritten alphanumeric character recognition by the neocognitron. 355-365 - Hans G. C. Tråvén:
A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functions. 366-377 - Oluseyi Farotimi, Amir Dembo, Thomas Kailath:
A general weight matrix formulation using optimal control. 378-394 - Roy Batruni:
A multilayer neural network with piecewise-linear structure and back-propagation learning. 395-403
Volume 2, Number 4, July 1991
- Youji Iiguni, Hideaki Sakai, Hidekatsu Tokumaru:
A nonlinear regulator design in the presence of system uncertainties using multilayered neural network. 410-417 - Chinchuan Chiu, Chia-Yiu Maa, Michael A. Shanblatt:
Energy function analysis of dynamic programming neural networks. 418-426 - Stephen P. Luttrell:
Code vector density in topographic mappings: Scalar case. 427-436 - Mohamad H. Hassoun, Paul Benedict Watta:
Exact associative neural memory dynamics utilizing Boolean matrices. 437-448 - Patrik Floréen:
The convergence of Hamming memory networks. 449-457 - Pietro Burrascano:
Learning vector quantization for the probabilistic neural network. 458-461 - Fathi M. A. Salam, Yiwen Wang:
A real-time experiment using a 50-neuron CMOS analog silicon chip with on-chip digital learning. 461-464 - P. Saratchandran:
Dynamic programming approach to optimal weight selection in multilayer neural networks. 465-467 - Michael A. Sartori, Panos J. Antsaklis:
A simple method to derive bounds on the size and to train multilayer neural networks. 467-471 - Fumio Kanaya, Shigeki Miyake:
Bayes statistical behavior and valid generalization of pattern classifying neural networks. 471-475
Volume 2, Number 5, September 1991
- Chung-Ming Kuan, Kurt Hornik:
Convergence of learning algorithms with constant learning rates. 484-489 - David B. Fogel:
An information criterion for optimal neural network selection. 490-497 - Etienne Barnard, David P. Casasent:
Invariance and neural nets. 498-508 - Subramania I. Sudharsanan, Malur K. Sundareshan:
Equilibrium characterization of dynamical neural networks and a systematic synthesis procedure for associative memories. 509-521 - Bart Kosko:
Stochastic competitive learning. 522-529 - Chun-Shin Lin, Hyongsuk Kim:
CMAC-based adaptive critic self-learning control. 530-533 - Patrik Floréen:
Worst-case convergence times for Hopfield memories. 533-535 - Minoru Fukumi, Sigeru Omatu:
A new back-propagation algorithm with coupled neuron. 535-538 - Shigeki Miyake, Fumio Kanaya:
A neural network approach to a Bayesian statistical decision problem. 538-540
Volume 2, Number 6, November 1991
- Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
Bounds on the number of samples needed for neural learning. 548-558 - Yeou-Fang Wang, Jose B. Cruz Jr., James H. Mulligan Jr.:
Guaranteed recall of all training pairs for bidirectional associative memory. 559-567 - Donald F. Specht:
A general regression neural network. 568-576 - Thomas H. Hildebrandt:
Optimal training of thresholded linear correlation classifiers. 577-588 - Simon Haykin, Cong Deng:
Classification of radar clutter using neural networks. 589-600
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-27 01:11 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
