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Blind equalization in neural networks : theory, algorithms and applications / Liyi Zhang [and three others].

Contributor(s): Material type: TextTextPublisher: Berlin, [Germany] ; Boston, [Massachusetts] : De Gruyter : Tsinghua University Press, 2018Copyright date: ©2018Description: 1 online resource (268 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783110450293 (e-book)
Subject(s): Genre/Form: Additional physical formats: Print version:: Blind equalization in neural networks : theory, algorithms and applications.DDC classification:
  • 006.32 23
LOC classification:
  • QA76.87 .B556 2018
Online resources:
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Ebrary Online Books Ebrary Online Books Colombo Available CBERA10002839
Ebrary Online Books Ebrary Online Books Jaffna Available JFEBRA10002839
Ebrary Online Books Ebrary Online Books Kandy Available KDEBRA10002839
Total holds: 0

Enhanced descriptions from Syndetics:

The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (EBC, viewed February 6, 2018).

Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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