Journal of Neural Network Computing, Volume 1Auerbach Publishers, 1990 - Neural networks (Computer science) |
Contents
The network presented implements a parallel and constrained GramSchmidt orthogonalization The network | 14 |
The system described uses a hierarchical scene structure to organize the perceptual structure of an image The system | 34 |
A Neural Network Enhancement to von Neumann Computer Architecture Yuri Shestov | 41 |
Copyright | |
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adaptive filtering Adaptive Pattern Adaptive Resonance adaptive resonance theory algorithm Alianna analysis applications architecture array associative memory Auerbach Publishers autoassociative back-propagation behavior classification clustering complex Conference on Neural connections data base diagnostics dynamic equation error example Expert Systems feature vectors feed-forward function Grossberg hidden Markov model hierarchical Hopfield network IEEE implementation initial input pattern input regions Inverse Kinematic iterative Journal of Neural learning MacBrain machine Maren matrix MDNet method multilayer multilayer perceptron neocognitron network units neural net Neural Network Computing neurocomputing neurons nodes noise noisy nonlinear operation Optical orthogonal output parallel parameters patent pattern recognition perceptron perceptual grouping performance pixel problem processor propagation random relationship representation Research Robotics samples segments sensor shown in Exhibit signal simulation solution surface symptoms technique threshold tion training set values variables weight