Classification and Learning Using Genetic Algorithms - Applications in Bioinformatics and Web Intelligence (Hardcover, 2007 ed.)

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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. "


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Product Description

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. "

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Natural Computing Series

Release date

April 2007

Availability

Expected to ship within 12 - 17 working days

First published

2007

Authors

,

Dimensions

235 x 155 x 19mm (L x W x T)

Format

Hardcover

Pages

311

Edition

2007 ed.

ISBN-13

978-3-540-49606-9

Barcode

9783540496069

Categories

LSN

3-540-49606-8



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