Blind equalization in neural networks : theory, algorithms and application /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhang, Liyi (Autor), Sun, Yunshan (Autor), Zhang, Xiaoqin (Autor), Bai, Yu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : [Beijing] : De Gruyter ; Tsinghua University Press, [2018]
Temas:
Neural networks (Computer science)
Neural networks (Neurobiology)
Neural Networks, Computer
Réseaux neuronaux (Informatique)
Réseaux neuronaux (Neurobiologie)
COMPUTERS > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction
  • The fundamental theory of neural network blind equalization algorithm
  • Research of blind equalization algorithms based on FFNN
  • Research of blind equalization algorithms based on the FBNN
  • Research of blind equalization algorithms based on FNN
  • Blind equalization algorithm based on evolutionary neural network
  • Blind equalization algorithm based on wavelet neural network
  • Application of neural network blind equalization algorithm in medical image processing.

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