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Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence PDF

492 Pages·2006·3.177 MB·English
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by Candida Ferreira| 2006| 492 pages| 3.177| English

About Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence

CГўndida 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.

Detailed Information

Author:Candida Ferreira
Publication Year:2006
ISBN:3540262571
Pages:492
Language:English
File Size:3.177
Format:PDF
Price:FREE
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