Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Natural Computing Series)

by SankarKumarPal (Author), SanghamitraBandyopadhyay (Author)

New
Hardcover
2007
$174.95

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-a-vis several widely used classifiers, including neural networks.

Synopsis

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-a-vis several widely used classifiers, including neural networks.

$174.95

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 311
Publisher: Springer
Published: 23 Apr 2007
ISBN 10: 3540496068
ISBN 13: 9783540496069

Media 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)