The research of fuzzy neural network controller based on rough set

被引：0

作者：

Rong Pan Xiang ^{[1
]}

Zhang Yu ^{[1
]}

机构：

[1] Harbin Univ Sci & Technol, Dept Automat, Harbin, Heilongjiang, Peoples R China

来源：

Proceedings of 2006 International Conference on Artificial Intelligence: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS | 2006年

关键词：

fuzzy neural network; rough set; intelligent controller;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to the complication of modern industrial process, and the increase of nonlinearity and uncertainty in it, this paper proposed a designing method of fuzzy neural network controller based on rough set. The method combines the Rough set and fuzzy neural network, which can derive control rules from input-output data effectively and rind the minimal set of rules. And this method can solve the "rule explosion" problem. Results obtained from a simulation using MATLAB indicate that the proposed method has good-quality controlling ability and self-adaptive ability when encountering sudden disturbances.

引用

页码：767 / 770

页数：4