[PDF.65mz] Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks) (Vol 3)

Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks) (Vol 3)

[PDF.pd04] Models of Neural Networks III: Association, Generalization, and Representation (Physics of Neural Networks) (Vol 3)

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 | #4950936 in Books |  1995-12-01 | Original language:English | PDF # 1 |  9.21 x.75 x6.14l,1.40 | File type: PDF | 311 pages

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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...

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