Models of Neural Networks III Association, Generalization, and Representation

Models of Neural Networks III Association, Generalization, and Representation / edited by Eytan Domany, J. Leo van Hemmen, Klaus Schulten.

One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Domany, Eytan (Editor), Hemmen, J. Leo van (Editor), Schulten, Klaus (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 1996.
Edition:1st ed. 1996.
Series:Physics of Neural Networks,
Springer eBook Collection.
Subjects:
Statistical physics.
Dynamical systems.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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