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Neural network modeling : statistical mechanics and cybernetic perspectives /

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"Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent...

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Bibliographic Details
Main Authors: Neelakanta, Perambur S. (Author), De Groff, Dolores F. (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, Fla. : CRC Press, ©1994.
Subjects:
Neural networks (Computer science)
Réseaux neuronaux (Informatique)
COMPUTERS > General.
Neuronales Netz
Stochastisches dynamisches System
Neurale netwerken.
Réseaux neronaux (informatique)
Cybernétique.
Intelligence artificielle.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:"Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions"--Publisher description
Physical Description:1 online resource (xv, 240 pages) : illustrations
Bibliography:Includes bibliographical references (pages 222-231) and index.
ISBN:9780203745960
0203745965
9781351428965
1351428969