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Discrete Neural Computation: A Theoretical Foundation

Kai-Yeung Siu, Vwani Roychowdhury, Thomas Kailath




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 | #4711515 in Books |  1995-01-28 | Format: Facsimile | Original language:English | PDF # 1 |  9.00 x1.00 x7.00l,1.82 | File type: PDF | 432 pages

||0 of 0 people found the following review helpful.| A good theoretical book on discrete neural networks|By Todd Ebert|This book is more aimed towards researchers in the field of computational complexity, who are studying the computational limitations of discrete neural nets, in terms of depth, size, and connection weights. From this perspective it seems very good, if not excellent. On the other hand, aside from coverage of|From the Publisher|This book brings together -- in one volume -- the recent developments in discrete neural computation, with a focus on neural networks with discrete inputs and outputs. It integrates a variety of important ideas and analytical techniques, and e

Written by the three leading authorities in the field, this book brings together — in one volume — the recent developments in discrete neural computation, with a focus on neural networks with discrete inputs and outputs. It integrates a variety of important ideas and analytical techniques, and establishes a theoretical foundation for discrete neural computation. Discusses the basic models for discrete neural computation and the fu...

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