摘要
提出了一种用于模糊系统建模和分析的分布结构模糊神经网络，这种网络将所有输入变量的从属度与各输出变量的从属度通过分布结构独立对应起来，利用遗传算法得到网络的权与输入变量的从属函数最优化参数，最后给出计算机模拟结果．
This paper describes a distributed fuzzy neural network used in modeling and analyzing a fuzzy system. In this network,all membership grade of input subsets are in relationship with each membership grade of output subsets correspondingly through distributed network structure. The most appropriate parameters about membership function and connected weights of network are obtained by using genetic algorithm. The result of computer simulation is provided as well.
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
1998年第1期93-98,共6页
Journal of Fudan University：Natural Science
关键词
模糊神经网络
遗传算法
分布结构
神经网络
fuzzy neural network
genetic algorithm
distributed structure
T-norm
S-norm
