Soft Computing Techniques and its Applications in Electrical Engineering /

Taking inspiration from the brain structure (neurons), linguistic rather than precise way of description by humans (not so cold, very warm), genetics and the behaviour of birds and ants in the nature, new techniques for the solution of various problems have been developed over the past three decades...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chaturvedi, Devendra K. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Computational Intelligence, 103
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Electrical engineering.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Electrical and Electronic Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Soft Computing
  • Life History of Brain
  • Artificial Neural Network and Supervised Learning
  • Factors Affecting the Performance of Artificial Neural Network Models
  • Development of Generalized Neuron and Its Validation
  • Applications of Generalized Neuron Models
  • to Fuzzy Set Theoretic Approach
  • Applications of Fuzzy Rule Based System
  • Genetic Algorithms
  • Applications of Genetic Algorithms to Load Forecasting Problem
  • Synergism of Genetic Algorithms and Fuzzy Systems for Power System Applications
  • Integration of Neural Networks and Fuzzy Systems
  • ANN - GA-Fuzzy Synergism and Its Applications.

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