Neural Network Design (2nd Edition)

ISBN-10: 0971732116
ISBN-13: 9780971732117
Edition: 2nd
List price: $30.00
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Description: This book provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications  More...

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Book details

List price: $30.00
Edition: 2nd
Publisher: Martin Hagan
Publication date: 9/1/2014
Binding: Paperback
Pages: 800
Size: 7.50" wide x 9.25" long x 1.80" tall
Weight: 3.960
Language: English

This book provides a clear and detailed coverage of fundamental neural network architectures and learning rules. In it, the authors emphasize a coherent presentation of the principal neural networks, methods for training them and their applications to practical problems.

Martin T. Hagan (Ph.D. Electrical Engineering, University of Kansas) has taught and conducted research in the areas of control systems and signal processing for the last 35 years. For the last 25 years his research has focused on the use of neural networks for control, filtering and prediction. He is a Professor in the School of Electrical and Computer Engineering at Oklahoma State University and a co-author of the Neural Network Toolbox for MATLAB.

Orlando De Jesus (Ph.D. Electrical Engineering, Oklahoma State University) has twenty-four years of industrial experience, with AETI C.A. in Caracas, Venezuela, Halliburton in Carrollton, Texas and is currently working as Engineering Consultant in Frisco, Texas. Orlando�s dissertation was a basis for the dynamic network training algorithms in the Neural Network Toolbox for MATLAB.

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