计算机工程与应用2011，Vol.47Issue(21)：153-156,4.DOI:10.3778/j.issn.1002-8331.2011.21.040
蚁群聚类算法的T-S模糊模型辨识
Identification of T-S fuzzy models based on ant colony clustering algorithm
摘要
Abstract
A model identification approach of nonlinear systems is presented based on T-S model.To automatically acquire the fuzzy space structure of system and the number of fuzzy rules,the ant colony clustering algorithm is used in structure identification.Based on the cluster result, the parameters of conclusion of fuzzy model are identified by means of the genetic algorithm to obtain a precise fuzzy model and realize parameters identification.This proposed method realizes the identification of nonlinear system and improves greatly the precision of identification.The simulation results show the effectiveness of the proposed method.关键词
蚁群聚类算法/T-S模糊模型/系统辨识Key words
ant colony clustering algorithm/T-S fuzzy model/system identification分类
信息技术与安全科学引用本文复制引用
赵宝江..蚁群聚类算法的T-S模糊模型辨识[J].计算机工程与应用,2011,47(21):153-156,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60773065) （the National Natural Science Foundation of China under Grant No.60773065）
黑龙江省普通高等学校青年学术骨干支持计划项目(No.1 154G09) （No.1 154G09）
牡丹江师范学院科学技术研究重点项目(No.Z2008001). （No.Z2008001）
