Mathematical Methods for Neural Network Analysis and Design (Bradford Books) [Hardcover]

Richard Golden (Author)

Book Description

Series: Bradford Books | Publication Date: December 1, 1996

This graduate-level text teaches students how to use a small number of powerful mathematical tools for analyzing and designing a wide variety of artificial neural network (ANN) systems, including their own customized neural networks.Mathematical Methods for Neural Network Analysis and Design offers an original, broad, and integrated approach that explains each tool in a manner that is independent of specific ANN systems. Although most of the methods presented are familiar, their systematic application to neural networks is new. Included are helpful chapter summaries and detailed solutions to over 100 ANN system analysis and design problems. For convenience, many of the proofs of the key theorems have been rewritten so that the entire book uses a relatively uniform notion.This text is unique in several ways. It is organized according to categories of mathematical tools -- for investigating the behavior of an ANN system, for comparing (and improving) the efficiency of system computations, and for evaluating its computational goals -- that correspond respectively to David Marr's implementational, algorithmic, and computational levels of description. And instead of devoting separate chapters to different types of ANN systems, it analyzes the same group of ANN systems from the perspective of different mathematical methodologies.A Bradford Book

Editorial Reviews

Review

"A significant and scholarly contribution to the field of neural networks.The author successfully integrates a very broad range of material in acompetent and understandable manner. I do not know of any book on this sametopic that covers such a wide range of material." Jerome R. Busemeyer, Professor of Psychology, Purdue University

About the Author

Richard M. Golden is Associate Professor, Cognition and Neuroscience Program, the University of Texas at Dallas. In addition, he is an independent engineering consultant specializing in the development of customized artificial neural networks and statistical analyses, and is a member of the editorial board of the journal Neural Networks.

Product Details

• Reading level: Ages 18 and up
  
• Hardcover: 432 pages
• Publisher: A Bradford Book (December 1, 1996)
• Language: English
• ISBN-10: 0262071746
• ISBN-13: 978-0262071741
• Product Dimensions: 10.3 x 7.4 x 1.3 inches
• Shipping Weight: 2.4 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #1,371,229 in Books (See Top 100 in Books)

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