Classification and Learning Using Genetic Algorithms

Classification and Learning Using Genetic Algorithms
Author :
Publisher : Springer Science & Business Media
Total Pages : 320
Release :
ISBN-10 : 9783540496076
ISBN-13 : 3540496076
Rating : 4/5 (076 Downloads)

Book Synopsis Classification and Learning Using Genetic Algorithms by : Sanghamitra Bandyopadhyay

Download or read book Classification and Learning Using Genetic Algorithms written by Sanghamitra Bandyopadhyay and published by Springer Science & Business Media. This book was released on 2007-05-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-à-vis several widely used classifiers, including neural networks.


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The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at