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عنوان
Subspace learning of neural networks

پدید آورنده
/ Jian Cheng Lv, Jiliu Zhou, Zhang Yi.,Cheng Lv, Jian,

موضوع
Neural networks (Computer science).,Computer algorithms.,Computer science.,Neural networks.,Computer algorithms.

رده

کتابخانه
Central library and document university of Kurdistan

محل استقرار
استان: Kurdistan ـ شهر: Sanandaj

Central library and document university of Kurdistan

تماس با کتابخانه : 9-08733624006 و 08733664600

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
978-1-4398-1536-6 (Ebook-PDF)

NATIONAL BIBLIOGRAPHY NUMBER

Number
3824

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Subspace learning of neural networks
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Jian Cheng Lv, Jiliu Zhou, Zhang Yi.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton ; London ; New York
Name of Publisher, Distributor, etc.
: CRC Press Taylor & Franicis Group
Date of Publication, Distribution, etc.
, 2011.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xxii, 233 pages
Other Physical Details
: illustrations, tables.

SERIES

Series Title
Automation and Control Engineering (Boca Raton).

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 213-228) and index.

SUMMARY OR ABSTRACT

Text of Note
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.

TOPICAL NAME USED AS SUBJECT

Entry Element
Neural networks (Computer science).
Entry Element
Computer algorithms.

UNCONTROLLED SUBJECT TERMS

Subject Term
Computer science.
Subject Term
Neural networks.
Subject Term
Computer algorithms.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Cheng Lv, Jian,
Relator Code
Author

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Entry Element
Zhou, Jiliu,
Entry Element
Yi, Zhang,
Relator Code
Cllaborator
Relator Code
Cllaborator

ORIGINATING SOURCE

Country
ایران
Agency
Central Library of the Kurdistan University

e

BL
280328

a
Y

Proposal/Bug Report

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