Description: Vlsi for Neural Networks and Artificial Intelligence, Hardcover by Delgado-Frias, Jose G.; Moore, William R. (EDT), ISBN 0306447223, ISBN-13 9780306447228, Like New Used, Free shipping in the US Neural network and artificial intelligence algorithrns and computing have increased not only in complexity but also in the number of applications. This in turn has posed a tremendous need for a larger computational power that conventional scalar processors may not be able to deliver efficiently. These processors are oriented towards numeric and data manipulations. Due to the neurocomputing requirements (such as non-programming and learning) and the artificial intelligence requirements (such as symbolic manipulation and knowledge representation) a different set of constraints and demands are imposed on the computer architectures/organizations for these applications. Research and development of new computer architectures and VLSI circuits for neural networks and artificial intelligence have been increased in order to meet the new performance requirements. This book presents novel approaches and trends on VLSI implementations of machines for these applications. Papers have been drawn from a number of research communities; the subjects span analog and VLSI design, computer design, computer architectures, neurocomputing and artificial intelligence techniques. This book has been organized into four subject areas that cover the two major categories of this book; the areas are: analog circuits for neural networks, implementations of neural networks, neural networks on multiprocessor systems and applications, and VLSI machines for artificial intelligence. The topics that are covered in each area are briefly introduced below.
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Book Title: Vlsi for Neural Networks and Artificial Intelligence
Number of Pages: X, 320 Pages
Publication Name: Vlsi for Neural Networks and Artificial Intelligence
Language: English
Publisher: Springer
Subject: Systems Architecture / General, Hardware / General, Intelligence (Ai) & Semantics, Electronics / Circuits / Vlsi & Ulsi, Neural Networks
Publication Year: 1994
Item Weight: 50.4 Oz
Type: Textbook
Item Length: 9.2 in
Subject Area: Computers, Technology & Engineering
Author: W. R. Moore
Item Width: 6.1 in
Format: Hardcover
