| Title:
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CLASSIFICATION AND LEARNING USING GENETIC ALGORITHMS
APPLICATIONS IN BIOINFORMATICS AND WEB INTELLIGENCE |
| By: |
Sanghamitra Bandyopadhyay, Sankar K. Pal |
| Format: |
Hardback |
| List price:
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£126.00 |
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| ISBN 10: |
3540496068 |
| ISBN 13: |
9783540496069 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
23 April, 2007 |
| Series: |
Natural Computing Series |
| Pages: |
311 |
| Description: |
Presents a framework that describes how genetic learning can be used to design pattern recognition and learning systems. This book describes how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. It is suitable for graduate students and researchers. |
| 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. |
| Illustrations: |
87 black & white illustrations, biography |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |