Neural network principles:

Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation

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Bibliographische Detailangaben
Beteilige Person: Harvey, Robert L. (VerfasserIn)
Format: Buch
Sprache:Englisch
Veröffentlicht: Englewood Cliffs, NJ Prentice Hall 1994
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Zusammenfassung:Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation
The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks
Abstract:Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L
Umfang:IX, 197 S. graph. Darst.
ISBN:0130633305
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