Classification and Learning Using Genetic Algorithms
| Author | : Sanghamitra Bandyopadhyay |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 320 |
| Release | : 2007-05-17 |
| 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.
