ISBN-10:
0124438628
ISBN-13:
9780124438620
Pub. Date:
11/14/1997
Publisher:
Elsevier Science
Optimization Techniques / Edition 1

Optimization Techniques / Edition 1

by Cornelius T. Leondes

Hardcover

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Product Details

ISBN-13: 9780124438620
Publisher: Elsevier Science
Publication date: 11/14/1997
Series: Neural Network Systems Techniques and Applications Series , #2
Pages: 398
Product dimensions: 1.06(w) x 6.00(h) x 9.00(d)

About the Author

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

Table of 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.

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