Neural Networks Methodology and Applications /

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, m...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dreyfus, Gérard (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Temas:
System theory.
Mathematical physics.
Engineering.
Computer science-Mathematics.
Telecommunication.
Artificial intelligence.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Technology and Engineering.
Mathematical Applications in Computer Science.
Communications Engineering, Networks.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Neural Networks: An Overview
  • Modeling with Neural Networks: Principles and Model Design Methodology
  • Modeling Metholodgy: Dimension Reduction and Resampling Methods
  • Neural Identification of Controlled Dynamical Systems and Recurrent Networks
  • Closed-Loop Control Learning
  • Discrimination
  • Self-Organizing Maps and Unsupervised Classification
  • Neural Networks without Training for Optimization.

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