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Books Books 1 - 10 of about 45 related to Neural Networks and Learning Machines.   

Neural Networks: A Comprehensive Foundation

Simon S. Haykin - Computers - 1999 - 842 pages
Introduction; Learning processes; Single layer perceptrons; Multilayer perceptrons; Radial-basis function networks; Support vector machines; Comittee machines; Principal ...
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Neural Networks: A Comprehensive Foundation

Simon S. Haykin - Neural networks (Computer science) - 1994 - 696 pages
This book represents the most comprehensive treatment available of neural networks from an engineering perspective. Thorough, well-organized, and completely up to date, it ...
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New Directions in Statistical Signal Processing: From Systems to Brain

Simon S. Haykin - Computers - 2007 - 514 pages
Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields.
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Nonlinear Methods of Spectral Analysis

S. Haykin - Science - 2006 - 263 pages
With contributions by numerous experts
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Numerical linear algebra techniques for systems and control

Rajni V. Patel, Alan J. Laub, Paul van Dooren, IEEE Control Systems Society - Technology & Engineering - 1994 - 724 pages
The growing importance of computers in engineering today necessitates a book that shows how to apply numerical linear algebra to solve fundamental computational problems in ...
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Signals and systems

Simon S. Haykin, Barry Van Veen - Science - 1999 - 694 pages
Intended for use in an undergraduate course in electrical engineering, this book provides a modern treatment of signals and systems. It will prepare students for senior-level ...
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