Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence by Sanghamitra BandyopadhyayClassification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence by Sanghamitra Bandyopadhyay

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web…

bySanghamitra Bandyopadhyay, Sankar Kumar Pal

Paperback | November 23, 2010

Pricing and Purchase Info

$226.00 online 
$260.95 list price save 13%
Earn 1,130 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.
Title:Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web…Format:PaperbackDimensions:311 pages, 23.5 × 15.5 × 0.07 inPublished:November 23, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642080545

ISBN - 13:9783642080548

Reviews

Table of Contents

Introduction.- Genetic Algorithms.- Supervised Classification Using Genetic Algorithms.- Theoretical Analysis of the GA-Classifier.- Variable String Lengths in GA-Classifier.- Chromosome Differentiation in VGA-Classifier.- Multi-objective VGA-Classifier and Quantitative Indices.- Genetic Algorithms in Clustering.- Genetic Learning in Bioinformatics.- Genetic Algorithms and Web Intelligence.- Appendices.- References.- Index.

Editorial Reviews

"This book tries to balance the mixture of theories, algorithms, and applications and is a good reference for people who want to solve a complex optimization problem for their field. ... Overall, this book is well organized and well written. There is no doubt that this is another good pattern recognition reference to have on one's bookshelf." (Zheng Liu, IAPR Newsletter 30(4), October 2008)