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On the statistical mechanics of probabilistic models of neural networks

On the statistical mechanics of probabilistic models of neural networks Little's model for network with countable neurals is exploited. It is shown that the thermodynamic equillibrium happens if and only if interactions are pairwise (without higher order interactions) and symmetric. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

On the statistical mechanics of probabilistic models of neural networks

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References (7)

Publisher
Springer Journals
Copyright
Copyright © 1995 by Science Press, Beijing, China and Allerton Press, Inc., New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02011195
Publisher site
See Article on Publisher Site

Abstract

Little's model for network with countable neurals is exploited. It is shown that the thermodynamic equillibrium happens if and only if interactions are pairwise (without higher order interactions) and symmetric.

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Jul 14, 2005

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