Science of Artificial Neural Networks, Volume 1, Parts 1-2SPIE, 1992 - Neural networks (Computer science) |
Contents
Theoretical and experimental analysis of the first layer in neural networks for 3D pattern | 436 |
Engn | 596 |
1797062 | 632 |
Copyright | |
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Common terms and phrases
analysis applications approach artificial neural networks associated keywords associative memory backpropagation bipolar Butterworth filter centroids classification clustering computational conclusion networks convergence corresponding data set DDEKF defined detection dilution distribution edge elements equation error example feature map feature vector feedforward filter fuzzy control fuzzy inference fuzzy logic fuzzy sets fuzzy systems genetic algorithms GKCN GNAT gradient gradient descent hidden layer hidden units implementation information retrieval initial input vector internal representations iterations Kohonen map learning rate linear matrix membership functions method n-gram network architecture network training neural nets neuron node weight noise nonlinear Omron operation optimal paper parameters pattern recognition performance pixels prediction problem properties prototypes recurrent network recurrent neural networks represented response robots rules segmentation selection self-organizing sensors sequence signal simulations solution step synaptic target total number training set transform unsupervised learning updates values