Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence / Edition 1

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence / Edition 1

by Sanghamitra Bandyopadhyay, Sankar Kumar Pal
     
 

ISBN-10: 3540496068

ISBN-13: 9783540496069

Pub. Date: 04/28/2007

Publisher: Springer Berlin Heidelberg

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers

Overview

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.

Product Details

ISBN-13:
9783540496069
Publisher:
Springer Berlin Heidelberg
Publication date:
04/28/2007
Series:
Natural Computing Series
Edition description:
2007
Pages:
311
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Genetic Algorithms.- Supervised Classification Using Genetic Algorithms.- Theoretical Analysis of the GA-classifier.- Variable String Lengths in GA-classifier.- Chromosome Differentiation in VGA-classifier.- Multiobjective VGA-classifier and Quantitative Indices.- Genetic Algorithms in Clustering.- Genetic Learning in Bioinformatics.- Genetic Algorithms and Web Intelligence.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >