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ORCIDIEEE Transactions on Neural Networks, Volume 1
Volume 1, Number 1, March 1990
- Kumpati S. Narendra
, Kannan Parthasarathy:
Identification and control of dynamical systems using neural networks. 4-27 - M. W. Roth:
Survey of neural network technology for automatic target recognition. 28-43 - Bart Kosko:
Unsupervised learning in noise. 44-57 - Amir Dembo, Thomas Kailath:
Model-free distributed learning. 58-70 - Maryhelen Stevenson, Rodney Winter, Bernard Widrow:
Sensitivity of feedforward neural networks to weight errors. 71-80 - Yeou-Fang Wang, Jose B. Cruz Jr., James H. Mulligan Jr.:
Two coding strategies for bidirectional associative memory. 81-92 - Jari Kangas, Teuvo Kohonen, Jorma Laaksonen:
Variants of self-organizing maps. 93-99 - Manoel Fernando Tenorio, Wei-Tsih Lee:
Self-organizing network for optimum supervised learning. 100-110 - Donald F. Specht:
Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification. 111-121 - Atsushi Hiramatsu:
ATM communications network control by neural networks. 122-130 - Thomas Martinetz, Helge J. Ritter, Klaus Schulten:
Three-dimensional neural net for learning visuomotor coordination of a robot arm. 131-136 - Michael Kuperstein, Jyhpyng Wang:
Neural controller for adaptive movements with unforeseen payloads. 137-142 - Yoshiyasu Takefuji, Kuo Chun Lee:
A parallel algorithm for tiling problems. 143-145
Volume 1, Number 2, June 1990
- Thomas Petsche, Bradley W. Dickinson:
Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks. 154-166 - Okan K. Ersoy, Daesik Hong:
Parallel, self-organizing, hierarchical neural networks. 167-178 - Stephen I. Gallant:
Perceptron-based learning algorithms. 179-191 - David E. van den Bout, Thomas K. Miller III:
Graph partitioning using annealed neural networks. 192-203 - Sreeram V. B. Aiyer, Mahesan Niranjan, Frank Fallside:
A theoretical investigation into the performance of the Hopfield model. 204-215 - John B. Hampshire II, Alexander H. Waibel:
A novel objective function for improved phoneme recognition using time-delay neural networks. 216-228 - Stephen P. Luttrell:
Derivation of a class of training algorithms. 229-232 - Robert B. Allen, Joshua Alspector:
Learning of stable states in stochastic asymmetric networks. 233-238 - Ehud D. Karnin:
A simple procedure for pruning back-propagation trained neural networks. 239-242 - Panos J. Antsaklis:
Neural networks for control systems. 242-244 - Russell C. Eberhart:
Standardization of neural network terminology. 244-245
Volume 1, Number 3, September 1990
- Rafik Braham, James O. Hamblen:
The design of a neural network with a biologically motivated architecture. 251-262 - Yoshiyasu Takefuji, Li-Lin Chen, Kuo Chun Lee, John Huffman:
Parallel algorithms for finding a near-maximum independent set of a circle graph. 263-267 - John J. Shynk:
Performance surfaces of a single-layer perceptron. 268-274 - Yeou-Fang Wang, Jose B. Cruz Jr., James H. Mulligan Jr.:
On multiple training for bidirectional associative memory. 275-276
Volume 1, Number 4, December 1990
- Mahmoud K. Habib, Robert W. Newcomb:
Neuron type processor modeling using a timed Petri net. 282-289 - Neil E. Cotter:
The Stone-Weierstrass theorem and its application to neural networks. 290-295 - Dennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, Mark E. Oxley, Bruce W. Suter:
The multilayer perceptron as an approximation to a Bayes optimal discriminant function. 296-298 - James W. Watterson:
An optimum multilayer perceptron neural receiver for signal detection. 298-300 - Jacek M. Zurada, Weigong Shen:
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks. 300-303 - Eric A. Wan:
Neural network classification: a Bayesian interpretation. 303-305 - Russell C. Eberhart, Evangelia Micheli-Tzanakou:
Neural networks for engineering in medicine and biology. 305-306
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