Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence, 21)

Ferreira, Candida

ISBN 10: 3642069320 ISBN 13: 9783642069321

Edit� par Springer, 2014

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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.

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Titre : Gene Expression Programming: Mathematical ...
�diteur : Springer
Date d'�dition : 2014
Reliure : Couverture souple
Etat : New
Edition : 2�me �dition

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Gene Expression Programming

Candida Ferreira

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

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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 5046019

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Gene Expression Programming | Mathematical Modeling by an Artificial Intelligence

Candida Ferreira

Edit� par Springer, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

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Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence, 21)

Ferreira, Candida

Edit� par Springer, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

Neuf Couverture souple

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

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Gene Expression Programming

Candida Ferreira

Edit� par Springer Berlin Heidelberg Okt 2014, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. 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. 500 pp. Englisch. N� de r�f. du vendeur 9783642069321

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Gene Expression Programming : Mathematical Modeling by an Artificial Intelligence

Candida Ferreira

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. 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 9783642069321

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Gene Expression Programming

Candida Ferreira

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2014, 2014

ISBN 10 : 3642069320 ISBN 13 : 9783642069321

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. N� de r�f. du vendeur 9783642069321

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