摘要
本文提出一种基于模糊模型同径向基函数网络相结合的复杂系统建模方法 .该方法表明具有确定后件结构的 MTS模糊模型与径向基函数网络之间有一种直接对应关系 ,基于这种对应 ,我们可把 MTS模型的前件结构确定和后件结构辨识分开 ,利用径向基函数网络的学习特性和其它学习算法相结合来得到模糊模型 .该方法简单且能达到较高精度 .仿真实例说明了所提方法的有效性 .
Complex systems modeling method based on the combination of MTS fuzzy model with the radial basis function is presented in this paper. A direct correspondence is shown between MTS fuzzy model with the determining consequence structures and the radial basis function networks,. The premise structures of MTS model and consequence parameters can be separated in term of this direct correspondence, So we can obtain the fuzzy model using the combination of the radial basis function learning and the square recursive algorithm. The proposed approach has the advantages of simplicity, flexibility and high accuracy. Simulation studies are presented to illustrate the effectiveness of the method.
出处
《信息与控制》
CSCD
北大核心
2001年第3期231-233,239,共4页
Information and Control
基金
国家自然科学基金资助项目! ( No.698740 2 8)
