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Subspace learning of neural networks /

by Lv, Jian Cheng.
Authors: Yi, Zhang.%author | Zhou, Jiliu.%author Series: Automation and control engineering ; Published by : CRC Press, (Boca Raton, FL :) Physical details: xxii, 233 p. : ill. ; 25 cm. ISBN: 1439815356 Subject(s): Neural networks (Computer science) | Computer algorithms. Year: 2011
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Item type Location Call Number Status Date Due
Book Book AUM Main Library 006.32 L979 (Browse Shelf) Available
Book Book AUM Main Library 006.32 L979 (Browse Shelf) Available

Includes bibliographical references (p. 213-228) and index.

"Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors"--

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