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Statistical mechanics of neural networks : proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June 1990 /

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 interpretat...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Garrido, L. (Luis), 1930-
Format: eBook
Language:English
Published: Berlin ; New York : Springer-Verlag, [1990]
Series:Lecture notes in physics ; 368.
Subjects:
Neural networks (Neurobiology) > Mathematical models > Congresses.
Neural networks (Computer science) > Congresses.
Statistical mechanics > Congresses.
Neural networks (Computer science)
Neural networks (Neurobiology) > Mathematical models.
Statistical mechanics.
Neurale netwerken.
Statistische mechanica.
Réseaux neuronaux (informatique) > Congrès.
Réseaux neuronaux (physiologie) > Congrès.
Mécanique statistique > Congrès.
Neuronales Netz.
Statistische Mechanik.
Barcelona <1990>.
Electronic books.
Conference proceedings.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Item Description:Electronic resource.
Physical Description:1 online resource (vi, 477 pages) : illustrations.
Format:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:Includes bibliographical references.
ISBN:9783540468080 (electronic bk.)
3540468080 (electronic bk.)
ISSN:1616-6361 ;