Blind Equalization in Neural Networks

Liyi Zhang

ISBN 10: 3110449625 / ISBN 13: 9783110449624

Editore: De Gruyter, DE, 2017

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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.

Codice articolo LU-9783110449624

Dati bibliografici

• Titolo: Blind Equalization in Neural Networks
• Editore: De Gruyter, DE
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3110449625
• ISBN 13: 9783110449624
• Rilegatura: Hardback
• Condizione: New
• Peso: 642 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

Liyi Zhang, Tianjin University of Commerce, Tianjin, China.