快速模糊正交最小二乘算法

Fast Fuzzy Orthogonal Least Square Algorithm

在非线性正交最小二乘辨识方法中引入模糊基函数 ,得到可以统一利用语言信息和数据信息的模糊正交最小二乘方法 ,并且针对其计算量大 ,速度慢的缺点 ,推导出不用计算正交项的快速模糊正交最小二乘算法 ,并且在玻璃窑炉温度系统离线建模中进行了仿真实验 。

Fuzzy orthogonal least square algortithm is deduced adding fuzzy basis function in nonlinear orthogonal least square method, which can use language information and data information. In order to calculate fast, a fast fuzzy orthogonal least square algorithm is deduced, it needs no calculating orthogonal basis functions. Simulation experiments on a glass furnace demostrate the validity of the proposed algorithm.\;