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

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

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Candida Ferreira describes in detail the simple concepts of gene expression programming (GEP) and a number of modifications to this effective algorithm. This monograph gives details of PG so that anyone with basic programming abilities will be in a position to implement themselves. The book also contains an introduction to self this exciting new field of intelligence, including many new algorithms for induction of decision tree, information mining, classifier systems, function to uncover the functions, induction of polynomials, series of weather prediction, evolution, binding functions are automatically defined, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also deals with crucial and controversial problems of evolution that can be both refreshing evolutionary biologists and laptop or computer scientists. This second edition has been substantially revised and expanded with five new chapters, including Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence)

\n\nGene Expression Programming: Mathematical Modeling by an Artificial Intelligence (Studies in Computational Intelligence) Ebook

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