AzBaja.com, Home of the VW Baja Bug  
BizStore » Books » Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
United States Canada United Kingdom Germany France Japan

BizStore » Book
Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)

List Price: $64.00
Our Price: $44.97
You Save: $19.03 (30%)
Availability: Usually ships in 1-2 business days
Manufacturer: Westview Press
Publisher: Westview Press
Author(s): John A. Hertz, Anders S. Krogh, Richard G. Palmer

Buy it now at Amazon.com!
Add To Cart
Product Description:
Binding: Paperback
Brand: John A Hertz
EAN: 9780201515602
Edition: Revised ed.
Feature: Introduction To The Theory Of Neural Computation Santa Fe Institute Series
ISBN: 0201515601
Item Dimensions: Array
Label: Westview Press
Languages: Array
Manufacturer: Westview Press
Number Of Items: 1
Number Of Pages: 350
Publication Date: 1991-06-24
Publisher: Westview Press
Studio: Westview Press
Product Features:
Introduction To The Theory Of Neural Computation Santa Fe Institute Series
Editorial Review:
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.

This book comprehensively discusses the neural network models from a statistical mechanics perspective. It starts with one of the most influential developments in the theory of neural networks: Hopfield's analysis of networks with symmetric connections using the spin system approach and using the notion of an energy function from physics. Introduction to the Theory of Neural Computation uses these powerful tools to analyze neural networks as associative memory stores and solvers of optimization problems. A detailed analysis of multi-layer networks and recurrent networks follow. The book ends with chapters on unsupervised learning and a formal treatment of the relationship between statistical mechanics and neural networks. Little information is provided about applications and implementations, and the treatment of the material reflects the background of the authors as physicists. However the book is essential for a solid understanding of the computational potential of neural networks. Introduction to the Theory of Neural Computation assumes that the reader is familiar with undergraduate level mathematics, but does not have any background in physics. All of the necessary tools are introduced in the book.
Buy it now at Amazon.com!
Based on Amazon Store Manager Copyright © 2005 - 2017 Nuke Business Resources
Amazon Store

If you see Errors please E-mail Eric (AT) AzBaja.com X XX XXX
azbaja.com Webutation

eXTReMe Tracker
XXXX
The logos and trademarks used on this site are the property of their respective owners
We are not responsible for comments posted by our users, as they are the property of the poster. Any use, commercial or educational, requires written permission from the author.
Interactive software released under GNU GPL, Code Credits, Privacy Policy