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Models of Neural Networks III
. Ed(S): Domany, Eytan; Van, Hemmen J. L.; Schulten, K. (Beckmann Institute For Advanced Science And Technology, Urband, Illinois, Usa)
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Description for Models of Neural Networks III
Hardback. Presents a collection of articles by leading researchers in neural networks. This work focuses on data storage and retrieval, and the recognition of handwriting. Editor(s): Domany, Eytan; Van, Hemmen J. L.; Schulten, K. (Beckmann Institute for Advanced Science and Technology, Urband, Illinois, USA). Series: Physics of Neural Networks. Num Pages: 324 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 19. Weight in Grams: 636.
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 last topic first. The introductory chapter, "Global Analysis of Recurrent Neural Net works," by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local ... Read more
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 last topic first. The introductory chapter, "Global Analysis of Recurrent Neural Net works," by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and fire neurons with local ... Read more
Product Details
Format
Hardback
Publication date
1995
Publisher
Springer-Verlag New York Inc. United States
Number of pages
324
Condition
New
Series
Physics of Neural Networks
Number of Pages
311
Place of Publication
New York, NY, United States
ISBN
9780387943688
SKU
V9780387943688
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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