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Mathematical Methods for Neural Network Analysis and Design

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ISBN-10: 0262071746

ISBN-13: 9780262071741

Edition: 1996

Authors: Richard M. Golden

List price: $19.75
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Description:

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 Designoffers 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…    
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Book details

List price: $19.75
Copyright year: 1996
Publisher: MIT Press
Publication date: 2/3/1997
Binding: Hardcover
Pages: 432
Size: 7.25" wide x 10.50" long x 1.50" tall
Weight: 2.398
Language: English

Preface
Mathematical Notation
Introduction
Implementational Level
ANN Dynamical Systems
Deterministic Nonlinear Dynamical Systems Analysis
Stochastic Nonlinear Dynamical Systems Analysis
Algorithmic Level
Nonlinear Optimization Theory
Computational Level
Rational Inference Measures
Expected Risk Classification and Learning Theory
Statistical Model Evaluation
Epilogue
Problem Solutions
References
Author Index
Subject Index