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Gene Expression Programming Mathematical Modeling by an Artificial Intelligence /

Cândida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselv...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ferreira, Candida (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:2nd ed. 2006.
Colección:Studies in Computational Intelligence, 21
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction: The Biological Perspective
  • The Entities of Gene Expression Programming
  • The Basic Gene Expression Algorithm
  • The Basic GEA in Problem Solving
  • Numerical Constants and the GEP-RNC Algorithm
  • Automatically Defined Functions in Problem Solving
  • Polynomial Induction and Time Series Prediction
  • Parameter Optimization
  • Decision Tree Induction
  • Design of Neural Networks
  • Combinatorial Optimization
  • Evolutionary Studies.