IEEE ... International Conference on Neural Networks, Volumes 1-4Shun'ichi Amari SOS Printing, 1997 - Artificial intelligence |
Contents
Volume II | xxxi |
Pattern Recognition and Image Processing | xxxii |
An Upper Bound on the Node Complexity of Depth2 Multilayer Perceptrons | xxxviii |
Copyright | |
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Common terms and phrases
accuracy action potential activation function adaptation analysis ANN test ANN test structures application approach approximation architecture artificial neural networks average backpropagation BPTT cells channel classification CMAC columns complexity component Computer connections convergence corresponding cortex cortical columns data set defined detect equation error estimate example experimental experiments extracted fault feedforward Figure firing frequency fuzzy hidden layer hidden nodes hippocampal Hopfield IEEE Image implementation Japan KBNN latent inhibition learning algorithm linear mapping measure method mitral cells module neural net neurons nonlinear ocular dominance ocular dominance columns odor optimal Osaka Prefecture University output pairs paper parameters particle pattern performance phase potential prediction presented problem proposed recurrent represent Research response RTRL rule samples selected sequence shown shows sigmoid signal simulation stimulus synapses syncytium Table technique Technology temporal tion training data training set units University variables weights