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Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence

Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence

Paperback

Series: Studies in Computational Intelligence, Book 21

BiologyGeneral ComputersGeneral Mathematics

ISBN10: 3642069320
ISBN13: 9783642069321
Publisher: Springer Nature
Published: Oct 14 2014
Pages: 480
Weight: 1.53
Height: 1.01 Width: 6.14 Depth: 9.21
Language: English

Cândida 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.

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