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Studies in Computational Intelligence #21: Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence

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Studies in Computational Intelligence #21: Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence Cover

 

Synopses & Reviews

Publisher Comments:

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. 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.   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. 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.

Synopsis:

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.

Table of Contents

The Biological Perspective.- The Entities of Gene Expression Programming.- The Basic Gene Expression Algorithm.- The Basic GEA in Problem Solving.- Numerical Constants and the GEP-RNC Algorithm.- Automatically Defined Functions in Problem Solving.- 7 Polynomial Induction and Time Series Prediction.- Parameter Optimization.- Decision Tree Induction.- Design of Neural Networks.- Combinatorial Optimization.- Evolutionary Studies.

Product Details

ISBN:
9783642069321
Author:
Ferreira, Candida
Publisher:
Springer
Location:
Berlin, Heidelberg
Subject:
Applied
Subject:
Gene Expression Programming
Subject:
Genetic algorithms
Subject:
Genetic programming
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Bioinformatics <P>Presents an exciting new development out of Genetic Algorithms</P>
Subject:
Mathematics-Applied
Subject:
Bioinformatics
Subject:
Engineering
Subject:
Language, literature and biography
Subject:
Engineering mathematics
Subject:
Artificial Intelligence
Copyright:
Edition Description:
Softcover reprint of hardcover 2nd ed. 2006
Series:
Studies in Computational Intelligence
Series Volume:
21
Publication Date:
20110729
Binding:
TRADE PAPER
Language:
English
Pages:
498
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Engineering » Engineering » General Engineering
Science and Mathematics » Biology » General
Science and Mathematics » Botany » General
Science and Mathematics » Mathematics » Applied

Studies in Computational Intelligence #21: Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence New Trade Paper
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Product details 498 pages Springer - English 9783642069321 Reviews:
"Synopsis" by , 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.
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