摘要
从最优化角度出发，用神经网络解决模糊控制系统的规则提取问题，给出了可靠的基于ＢＰ算法的神经网络学习过程．讨论了模糊子集个数的选取与系统复杂性、精确性之间的关系．
This paper copes with the problem of abstracting rules of a fuzzy control system by introducing neural neteork which is based on optimal consideration. Authors suggested a reliable fearing procedure for the neural network based on BP algorithm. The relationship among the number of fuzzy sets and the complexity and accuracy of fuzzy controller.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
1996年第2期165-169,共5页
Journal of Sichuan University(Natural Science Edition)
