Statistical Mechanics of Neural Networks: Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3-7 June 1990

Statistical Mechanics of Neural Networks: Proceedings of the XIth Sitges Conference Sitges, Barcelona, Spain, 3-7 June 1990

by Luis Garrido
     
 

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Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretation, especially those to do with collective behaviour, learning and

Overview

Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretation, especially those to do with collective behaviour, learning and storage capacity, and dynamical stability.

Editorial Reviews

Booknews
An introduction (on the statistical-mechanical formulation of neural networks) and 18 papers on topics including model neurons, neuronal oscillators, adaptive recurrent neural networks, attractor neural networks, learning and optimization, learning and retrieving marked patterns, competitive learning neural networks, learning in multilayer networks, and the neural basis of the locomotion of nematodes. No index. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9783662137857
Publisher:
Springer Berlin Heidelberg
Publication date:
08/31/2014
Series:
Lecture Notes in Physics Series, #368
Edition description:
Softcover reprint of the original 1st ed. 1990
Pages:
477
Product dimensions:
6.69(w) x 9.61(h) x 0.97(d)

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