Neural Networks in a Softcomputing Framework

Conventional model-based data processing methods are computationally expensive and require experts' knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Du, Ke-Lin (Autor), Swamy, M.N.S (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Computational intelligence.
System theory.
Computer science.
Artificial intelligence.
Signal processing.
Pattern recognition systems.
Computational Intelligence.
Complex Systems.
Theory of Computation.
Artificial Intelligence.
Signal, Speech and Image Processing .
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Fundamentals of Machine Learning and Softcomputing
  • Multilayer Perceptrons
  • Hopfield Networks and Boltzmann Machines
  • Competitive Learning and Clustering
  • Radial Basis Function Networks
  • Principal Component Analysis Networks
  • Fuzzy Logic and Neurofuzzy Systems
  • Evolutionary Algorithms and Evolving Neural Networks
  • Discussion and Outlook.

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