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Models of Neural Networks
. Ed(S): Domany, Eytan; Hemmen, J. Leo Van; Schulten, Klaus
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Description for Models of Neural Networks
Paperback. Editor(s): Domany, Eytan; Hemmen, J. Leo van; Schulten, Klaus. Series: Physics of Neural Networks. Num Pages: 324 pages, biography. BIC Classification: PH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 504.
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
Paperback
Publication date
2012
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
9781461268826
SKU
V9781461268826
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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