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

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

by Sanghamitra Bandyopadhyay, Sankar Kumar Pal
     
 

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.

Editorial Reviews

From the Publisher
"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)

Product Details

ISBN-13:
9783642080548
Publisher:
Springer Berlin Heidelberg
Publication date:
11/23/2010
Series:
Natural Computing Series
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
311
Product dimensions:
6.10(w) x 9.25(h) x 0.36(d)

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