%0 Journal Article
%T Chaos optimization design for a fuzzy-neural network structure<br>一类模糊神经网络结构的混沌优化设计
%A LI Xiang-fei
%A ZOU Li-hua
%A PENG Ke
%A <br>李祥飞
%A 邹莉华
%A 彭可
%J 计算机应用
%D 2007
%I 
%X An optimization design method was proposed for a Fuzzy-Neural Network (FNN) structure based on chaotic variables. Chaotic variables were applied to the search of FNN structure and all parameters, which made fuzzy rule numbers and all parameters be in chaotic state. All FNN structure was variable, a FNN was found according to minimum performance standard. The defuzzification part right parameters of FNN were adjusted by the least square method on line. Simulation results show FNN by using the method has simpler structure and higher control precision.
%K fuzzy neural network
%K structure optimization
%K chaos
%K optimization<br>模糊神经网络
%K 结构优化
%K 混沌
%K 优化
%K 模糊神经
%K 网络结构
%K 混沌优化
%K 优化设计
%K network
%K structure
%K optimization
%K design
%K 控制精度
%K 精简
%K 仿真实验
%K 实时修正
%K 去模糊化
%K 乘法
%K 最小
%K 在线优化
%K 性能指标
%K 混沌状态
%K 规则数
%K 神经网络
%K 优化搜索
%K 参数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD274305125C81DD33BE441B1C&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=0F1312EB98113CF7&eid=8FB078CA6698CB38&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11