Discrete Neural Computation
Author | : Kai-Yeung Siu |
Publisher | : Prentice Hall |
Total Pages | : 444 |
Release | : 1995 |
ISBN-10 | : UOM:39015034037823 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Discrete Neural Computation written by Kai-Yeung Siu and published by Prentice Hall. This book was released on 1995 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.