설명
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. "
책 세부 정보
형식
페이퍼백
페이지
327 페이지
언어
영어
출판됨
11월 23, 2010
출판사
Springer
판본
판본 2개
ISBN-10
3642080545
ISBN-13
9783642080548