Classification and Learning Using Genetic Algorithms - Applications in Bioinformatics and Web Intelligence (Paperback, Softcover reprint of hardcover 1st ed. 2007)

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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

November 2010

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2007

Authors

,

Dimensions

235 x 155 x 17mm (L x W x T)

Format

Paperback

Pages

311

Edition

Softcover reprint of hardcover 1st ed. 2007

ISBN-13

978-3-642-08054-8

Barcode

9783642080548

Categories

LSN

3-642-08054-5



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