Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book includes a self-contained introduction to this new exciting field of computational intelligence. This second edition has been revised and extended with five new chapters. 504 pp. Englisch. N� de r�f. du vendeur 9783540327967

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Gene Expression Programming

Candida Ferreira

Edit� par Springer Berlin Heidelberg, 2006

ISBN 10 : 3540327967 ISBN 13 : 9783540327967

Neuf Couverture rigide

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Vendeur : moluna, Greven, Allemagne

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an exciting new development out of Genetic AlgorithmsThis book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP. N� de r�f. du vendeur 4887752

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Gene Expression Programming : Mathematical Modeling by an Artificial Intelligence

Candida Ferreira

Edit� par Springer Berlin Heidelberg, 2006

ISBN 10 : 3540327967 ISBN 13 : 9783540327967

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - C�ndida 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 themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists.This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes. N� de r�f. du vendeur 9783540327967

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