摘要
本文提出了在模糊系统中引入人工神经元网络,以便利用神经网络的自学习能力和并行处理特性来改善模糊系统的控制性能。文中介绍了具体的控制方案和人工神经网络的学习算法,然后给出了计算机模拟的结果。
In this paper,it is suggested that an artificial neural network is drawn into the fuzzysystems,so that their controled property is improved by means of the capacity of self—study and thecharacteristic of parallel processing in the artificial neural network.A concrete controled plan and astudy—algorithm of the neural network are presented,Then a result of simulation on microcomputer is given.
出处
《南京师大学报（自然科学版）》
CAS
CSCD
1993年第1期8-12,17,共6页
Journal of Nanjing Normal University(Natural Science Edition)
关键词
模糊系统
人工
神经网络
模糊控制
Artificial neural network
fuzzy system
contraled property
