Classification and learning using genetic algorithms : applications in bioinformatics and web intelligence / Sanghamitra Bandyopadhyay and Sankar K Pal

By:

Bandyopadhyay , Sanghamitra

Contributor(s):

Pal, Sankar K

Material type: Text

TextSeries: Natural computing seriesPublication details: Berlin : Springer, 2007Description: xv, 311p, 23cmISBN:

3540496068

Subject(s):

DDC classification:

005.1 BAN

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Calcutta	005.1 BAN (Browse shelf(Opens below))	Available		IIMC-121853

Total holds: 0

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-t-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains. This book will be useful to graduate students and researchers in computer science, electrical engineering, systems science, and information technology, both as a text and reference book.

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