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To order this title, and for more information, go to  http://books.elsevier.com/bookscat/links/details.asp?isbn=0124438628
By
Cornelius Leondes, University of California, Los Angeles, U.S.A.
Description
Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both
systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation
techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or
dynamic outputs, applications to constraint satisfaction,optimization issues and techniques for unsupervised learning neural networks,
optimum Cerebellar Model of Articulation Controller systems, a new statistical theory of optimum neural learning, and the role of the
Radial Basis Function in nonlinear dynamical systems.This volume is useful for practitioners, researchers, and students in industrial,
manufacturing, mechanical, electrical, and computer engineering.
Audience
Practitioners, research workers, academicians, and students in mechanical, electrical, industrial, manufacturing, and production engineering, as well as computer science and engineering.
Contents
Albertini and Pra, Recurrent Neural Networks: Identification and Other System Theoretic Properties. Anderson and Titterington,
Boltzmann Machines: Statistical Associations and Algorithms for Training Anderson and Titterington. Campbell, Constructive Learning
Techniques for Designing Neural Network Systems. Mehrotra and Mohan, Modular Neural Networks. Xu and Kwong, Associative
Memories. Fry and Sova, A Logical Basis for Neural Network Design.Hoekstra, Duin, and Kraaijveld, Neural Networks Applied
to Data Analysis. Zhang and Wang, Multi-Mode Single Neuron Arithmetics.
Bibliographic & ordering Information
Hardbound, 398 pages, publication date: OCT-1997
ISBN-13: 978-0-12-443862-0
ISBN-10: 0-12-443862-8
Imprint: ACADEMIC PRESS
Price: Order form
USD 95
EUR 95
GBP 63
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Last update: 14 Jul 2008
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