摘要
本文将压缩模糊控制器中模糊规则库的方法—奇异值分解(SVD)进行优化,让输入变量乘上比例因子,以防止输入空间信息丢失,从而提高系统的性能。
The paper optimizes the method of singular value decomposition （SVD） for compressing the fuzzy rule base in fuzzy controllers. The input variables are multiplied by the scaling factors to prevent the information of input space from loss and then the performance of the system is improved.
出处
《计算机工程与科学》
CSCD
2005年第9期89-90,104,共3页
Computer Engineering & Science
关键词
奇异值分解
模糊规则库
比例因子
singular value decomposition
fuzzy rule base
scaling factor
