[PDF.21vm] An Information-Theoretic Approach to Neural Computing (Perspectives in Neural Computing)

An Information-Theoretic Approach to Neural Computing (Perspectives in Neural Computing)

[PDF.ev01] An Information-Theoretic Approach to Neural Computing (Perspectives in Neural Computing)

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 | #4310688 in Books |  1997-09-05 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,1.27 | File type: PDF | 262 pages

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||From the Back Cover|Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural networks from the information-theoretic viewpoint. They show how this per

A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural n...

You can specify the type of files you want, for your device.An Information-Theoretic Approach to Neural Computing (Perspectives in Neural Computing)   |  Gustavo Deco, Dragan Obradovic. A good, fresh read, highly recommended.

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