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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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. "
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Natural Computing Series |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Authors | Sanghamitra Bandyopadhyay, Sankar Kumar Pal |
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 |