描述
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. "
書籍詳情
格式
平裝書
頁數
327 頁
語言
英語
已出版
Nov 23, 2010
出版商
Springer
版本
2 個版本
ISBN-10
3642080545
ISBN-13
9783642080548