Neural Network Modeling - Statistical Mechanics and Cybernetic Perspectives (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United States
Release date:	July 1994
First published:	1994
Authors:	P.S. Neelakanta • Dolores Degroff
Dimensions:	234 x 156 x 18mm (L x W x T)
Format:	Hardcover
Pages:	256
ISBN-13:	978-0-8493-2488-8
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-8493-2488-2
Barcode:	9780849324888

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