Neural Network Design (2nd Edition)

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9780971732117: Neural Network Design (2nd Edition)

This book, by the authors of the Neural Network Toolbox for MATLAB, 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. Features Extensive coverage of training methods for both feedforward networks (including multilayer and radial basis networks) and recurrent networks. In addition to conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, the text also covers Bayesian regularization and early stopping, which ensure the generalization ability of trained networks. Associative and competitive networks, including feature maps and learning vector quantization, are explained with simple building blocks. A chapter of practical training tips for function approximation, pattern recognition, clustering and prediction, along with five chapters presenting detailed real-world case studies. Detailed examples and numerous solved problems. Slides and comprehensive demonstration software can be downloaded from hagan.okstate.edu/nnd.html.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

About the Author:

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. Howard B. Demuth (Ph.D. Electrical Engineering, Stanford University) has twenty-three years of industrial experience, primarily at Los Alamos National Laboratory, where he helped design and build one of the world's first electronic computers, the "MANIAC." Demuth has fifteen years teaching experience as well. He is co-author of the Neural Network Toolbox for MATLAB and currently teaches a Neural Network course for the University of Colorado at Boulder. Mark Hudson Beale (B.S. Computer Engineering, University of Idaho) is a software engineer with a focus on artificial intelligence algorithms and software development technology. Mark is co-author of the Neural Network Toolbox for MATLAB and provides related consulting through his company, MHB Inc., located in Hayden, Idaho. Orlando De Jesús (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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Hagan, Martin T; Demuth, Howard B; Beale, Mark H; De Jesús, Orlando
Editore: Martin Hagan (2014)
ISBN 10: 0971732116 ISBN 13: 9780971732117
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Descrizione libro Martin Hagan, 2014. Paperback. Condizione libro: New. New ,International edition , softcover ,Same text as US edition , ISBN /Cover may be different , Ready to ship, 5-8 business days worldwide delivery. Codice libro della libreria INFGYD1F300

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Hagan, Martin T; Demuth, Howard B; Beale, Mark H; De Jesús, Orlando
Editore: Martin Hagan (2014)
ISBN 10: 0971732116 ISBN 13: 9780971732117
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Descrizione libro Martin Hagan, 2014. Paperback. Condizione libro: New. New ,International edition , softcover ,Same text as US edition , ISBN /Cover may be different , Ready to ship, 5-8 business days worldwide delivery. Codice libro della libreria INFGYD1G114

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Hagan, Martin T; Demuth, Howard B; Beale, Mark H; De Jesús, Orlando
Editore: Martin Hagan (2014)
ISBN 10: 0971732116 ISBN 13: 9780971732117
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Descrizione libro Martin Hagan, 2014. Paperback. Condizione libro: New. New ,International edition , softcover ,Same text as US edition , ISBN /Cover may be different , Ready to ship, 5-8 business days worldwide delivery. Codice libro della libreria INFGYC1G937

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Descrizione libro Softcover. Condizione libro: Brand New. .. Black & White or color International Edition. ISBN and front cover may be different, but contents are same as the US edition. Book printed in English. Territorial restrictions may be printed on the book. GET IT FAST within 3-5 business days by DHL/FedEx/Aramex and tracking number will be uploaded into your order page within 24-48 hours. Kindly provide day time phone number in order to ensure smooth delivery. No shipping to PO BOX, APO, FPO addresses. 100% Customer satisfaction guaranteed!. . Codice libro della libreria UBS01978

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Descrizione libro Paperback. Condizione libro: New. This is an International Edition Brand New Paperback Same Title Author and Edition as listed. ISBN and Cover design differs. Similar Contents as U.S Edition. Standard Delivery within 6-14 business days ACROSS THE GLOBE. We can ship to PO Box address in US. International Edition Textbooks may bear a label "Not for sale in the U.S. or Canada" or "For sale in Asia only" or similar restrictions- printed only to discourage students from obtaining an affordable copy. US Court has asserted your right to buy and use International edition. Access code/CD may not provided with these editions. We may ship the books from multiple warehouses across the globe including Asia depending upon the availability of inventory. Printed in English. Customer satisfaction guaranteed. Codice libro della libreria U_9780971732117

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Descrizione libro Martin Hagan. Condizione libro: New. 0971732116 This is an International Edition. Brand New, Paperback, Delivery within 6-14 business days, Similar Contents as U.S Edition, ISBN and Cover design may differ, printed in Black & White. Choose Expedited shipping for delivery within 3-8 business days. We do not ship to PO Box, APO , FPO Address. In some instances, subjects such as Management, Accounting, Finance may have different end chapter case studies and exercises. International Edition Textbooks may bear a label "Not for sale in the U.S. or Canada" and "Content may different from U.S. Edition" - printed only to discourage U.S. students from obtaining an affordable copy. The U.S. Supreme Court has asserted your right to purchase international editions, and ruled on this issue. Access code/CD is not provided with these editions , unless specified. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. Customer satisfaction guaranteed. Codice libro della libreria SU_9780971732117

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Martin T Hagan, Howard B Demuth, Mark H Beale
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Descrizione libro Martin Hagan, United States, 2014. Paperback. Condizione libro: New. 2nd. Language: English . Brand New Book ***** Print on Demand *****. This book, by the authors of the Neural Network Toolbox for MATLAB, 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. Features Extensive coverage of training methods for both feedforward networks (including multilayer and radial basis networks) and recurrent networks. In addition to conjugate gradient and Levenberg-Marquardt variations of the backpropagation algorithm, the text also covers Bayesian regularization and early stopping, which ensure the generalization ability of trained networks. Associative and competitive networks, including feature maps and learning vector quantization, are explained with simple building blocks. A chapter of practical training tips for function approximation, pattern recognition, clustering and prediction, along with five chapters presenting detailed real-world case studies. Detailed examples and numerous solved problems. Slides and comprehensive demonstration software can be downloaded from . Codice libro della libreria APC9780971732117

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