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Subspace learning of neural networks /

Lv, Jian Cheng.

Subspace learning of neural networks /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Subspace learning of neural networks // Jian Cheng Lv, Zhang Yi, Jiliu Zhou.
作者:	Lv, Jian Cheng.
其他作者:	Yi, Zhang.
出版者:	Boca Raton, FL :CRC Press, : c2011.,
面頁冊數:	xxii, 233 p. :ill. ; : 25 cm.;
標題:	Neural networks (Computer science) -
ISBN:	9781439815359 (cloth) :

Subspace learning of neural networks /
Lv, Jian Cheng.

Subspace learning of neural networks /Jian Cheng Lv, Zhang Yi, Jiliu Zhou. - Boca Raton, FL :CRC Press,c2011. - xxii, 233 p. :ill. ;25 cm. - Automation and control engineering. - Automation and control engineering..

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"--

ISBN: 9781439815359 (cloth) :NT3045

LCCN: 2010034923Subjects--Topical Terms:

528588
Neural networks (Computer science)

LC Class. No.: QA76.87 / .L83 2011

Dewey Class. No.: 006.3/2

Subspace learning of neural networks /
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100 1 $a Lv, Jian Cheng. $3 831551
245 1 0 $a Subspace learning of neural networks / $c Jian Cheng Lv, Zhang Yi, Jiliu Zhou.
260 $a Boca Raton, FL : $c c2011. $b CRC Press,
300 $a xxii, 233 p. : $b ill. ; $c 25 cm.
490 1 $a Automation and control engineering
504 $a Includes bibliographical references (p. 213-228) and index.
520 $a "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"-- $c Provided by publisher.
650 0 $a Neural networks (Computer science) $3 528588
650 0 $a Computer algorithms. $3 528448
700 1 $a Yi, Zhang. $3 674984
700 1 $a Zhou, Jiliu. $3 831552
830 0 $a Automation and control engineering. $3 633565