计算机工程与应用2011，Vol.47Issue(17)：221-223,228,4.DOI:10.3778/j.issn.1002-8331.2011.17.062
一种自组织双模糊神经网络控制算法
Self-structuring double fuzzy neural network algorithm
摘要
Abstract
Traditional fuzzy neural network lacks simplicity of design and real-time controlling.A self-constructuring double fuzzy neural network algorithm is proposed. In general, the mathematical description of the existing rules can be expressed as a set of clusters and the fuzzy membership functions and fuzzy rules are tuned automatically off line. The self-constructuring double fuzzy neural network consists of two fuzzy neural networks. One network is learning and another is controlling during on-line work time;parameters of the double fuzzy neural network are synchronized after one system cycle; the output of the controlling fuzzy neural network is taken as the algorithm's output. Simulation experiments are carried out on the test bed of rocket engine.The results show that this algorithm has improvement in real-time control and robustness against out-of-range parameters,and decreases the design complexity of the fuzzy neural network.关键词
双神经网络/自组织模糊神经网络/火箭发动机试验台控制系统Key words
double neural network/self-constructuring fuzzy neural network/rocket engine test bed分类
信息技术与安全科学引用本文复制引用
吕林涛,安婧..一种自组织双模糊神经网络控制算法[J].计算机工程与应用,2011,47(17):221-223,228,4.基金项目
陕西省教育厅自然科学研究项目(No.07JK339). （No.07JK339）
