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Subspace learning of neural networks /
~
Lv, Jian Cheng.
Subspace learning of neural networks /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Subspace learning of neural networks // Jian Cheng Lv, Zhang Yi, Jiliu Zhou.
Author:
Lv, Jian Cheng.
other author:
Yi, Zhang.
Published:
Boca Raton, FL :CRC Press, : c2011.,
Description:
xxii, 233 p. :ill. ; : 25 cm.;
Subject:
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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Subspace learning of neural networks /
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Jian Cheng Lv, Zhang Yi, Jiliu Zhou.
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Boca Raton, FL :
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c2011.
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CRC Press,
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xxii, 233 p. :
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ill. ;
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25 cm.
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Automation and control engineering
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Includes bibliographical references (p. 213-228) and index.
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"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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Neural networks (Computer science)
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528588
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Yi, Zhang.
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Zhou, Jiliu.
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Automation and control engineering.
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633565
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