Classification and Learning Using Genetic Algorithms Applications in Bioinformatics and Web Intelligence /

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bandyopadhyay, Sanghamitra (Autor), Pal, Sankar Kumar (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Natural Computing Series,
Temas:
Pattern recognition systems.
Computer programming.
Telecommunication.
Artificial intelligence.
System theory.
Bioinformatics.
Automated Pattern Recognition.
Programming Techniques.
Communications Engineering, Networks.
Artificial Intelligence.
Complex Systems.
Computational and Systems Biology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Genetic Algorithms
  • Supervised Classification Using Genetic Algorithms
  • Theoretical Analysis of the GA-classifier
  • Variable String Lengths in GA-classifier
  • Chromosome Differentiation in VGA-classifier
  • Multiobjective VGA-classifier and Quantitative Indices
  • Genetic Algorithms in Clustering
  • Genetic Learning in Bioinformatics
  • Genetic Algorithms and Web Intelligence.

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