计算机工程2011，Vol.37Issue(21)：165-166,169,3.DOI:10.3969/j.issn.1000-3428.2011.21.056
基于微分进化算法的模糊模型设计
Design of Fuzzy Model Based on Differential Evolution Algorithm
摘要
Abstract
This paper proposes an approach to construct TS fuzzy model based on Differential Evolution(DE) algorithm. The structure and parameters of the fuzzy model are optimized by the Pittsburgh-style real-coded DE algorithm. The fitness function that combines the interpretability index and the precision index is calculated on the differential evolution algorithm. Compared with other methods reported in the literature on the synthetic nonlinear dynamic system, simulation results show that the proposed approach is valid..关键词
TS模糊模型/模糊聚类/遗传算法/微分进化算法/解释性/精确性Key words
TS fuzzy model/fuzzy clustering/Genetic Algorithm(GA)/Differential Evolution(DE) algorithm/interpretability/precision分类
信息技术与安全科学引用本文复制引用
张永,黄成,徐志良,吴晓蓓..基于微分进化算法的模糊模型设计[J].计算机工程,2011,37(21):165-166,169,3.基金项目
江苏省博士后科研计划基金资助项目(0702027B) （0702027B）
江苏省自然科学基金资助项目(BK2006202) （BK2006202）
