Discrete Neural Computation: A Theoretical Foundation

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9780133007084: Discrete Neural Computation: A Theoretical Foundation

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 fundamental concepts in computational complexity; establishes efficient designs of threshold circuits for computing various functions; develops techniques for analyzing the computational power of neural models. A reference/text for computer scientists and researchers involved with neural computation and related disciplines.

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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.

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Siu, Kai-Yeung; Roychowdhury, Vwani; Kailath, Thomas
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Book Description Pearson Education (US), United States, 1995. Paperback. Book Condition: New. US ed. 223 x 178 mm. Language: English . Brand New Book ***** Print on Demand *****. A reference/text for researchers in neural computation and related disciplines. 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. Bookseller Inventory # APC9780133007084

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Book Description Pearson Education (US), United States, 1995. Paperback. Book Condition: New. US ed. 223 x 178 mm. Language: English . Brand New Book ***** Print on Demand *****.A reference/text for researchers in neural computation and related disciplines. 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. Bookseller Inventory # APC9780133007084

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Book Description Prentice Hall. Paperback. Book Condition: New. Paperback. 432 pages. Dimensions: 8.8in. x 7.0in. x 1.0in.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 fundamental concepts in computational complexity; establishes efficient designs of threshold circuits for computing various functions; develops techniques for analyzing the computational power of neural models. A referencetext for computer scientists and researchers involved with neural computation and related disciplines. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Bookseller Inventory # 9780133007084

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