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Categoria WoS
  • Artificial Neural Networks
  • Genetic Algorithms
Titulo: Several Approaches to Variable Selection by means of Genetic Algorithms
Tipo: capitulo internacional
Fecha: 2006
Paginas: 141-164
ISBN: 1-59140-902-0
Libro: Artificial Neural Networks in Real-Life Applications
Editorial: Idea Group Publishing
Hershey (EEUU)


This chapter shows several approaches to determine how is the most relevant subset of variables to perform a classification task. It will permit the improvement and efficiency of the classification model. A particular technique of Evolutionary Computation, the Genetic Algorithms, is applied which the aim to obtain a general method of variable selection where only the fitness function will be dependent on the particular problem. The solution proposed is applied and tested on a practical case in the field of Analytical Chemistry to classify apple beverages.

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