混合模糊系统的权值参数优化算法  

Optimization algorithm of weight parameters of the hybrid fuzzy system

作　　者：陈雪 王贵君[2] CHEN Xue;WANG Gui-jun(Tianjin No.63 Middle School,Tianjin 300190,China;School of Mathematics Sciences,Tianjin Normal University,Tianjin 300387,China)

机构地区：[1]天津市第六十三中学,天津300190 [2]天津师范大学数学科学学院,天津300387

出　　处：《东北师大学报（自然科学版）》2022年第2期5-10,共6页Journal of Northeast Normal University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61374009)。

摘　　要：通过引入调控参数将Mamdani模糊系统和T-S模糊系统合并建立了一个混合模糊系统,并将该系统所有调节参数作为一个权值梯度向量构造了误差函数.基于BP算法和遗传算法(GA)对该梯度向量实施权值参数优化,进而利用适应度函数和解码转换获得了权值参数优化算法.通过一个简单仿真模拟说明了混合模糊系统的权值优化算法的有效性.By introducing adjustment parameters, the Mamdani fuzzy system and T-S fuzzy system are merged to establish a hybrid fuzzy system, and all adjustment parameters of the system are used as a weight gradient vector to construct an error function.Based on BP algorithm and genetic algorithm(GA),the weight parameter optimization of the gradient vector is implemented, and then the weight parameter optimization algorithm is obtained by using the fitness function and decoding conversion.A simple simulation shows the effectiveness of the weight optimization algorithm of the hybrid fuzzy system.

关 键 词：调控参数 混合模糊系统 权值梯度向量 适应度函数 优化算法 

分 类 号：O159[理学—数学]