A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
Based on the least square method, the technique of numerical fitting is merged into interval-valued fuzzy inference, and a new bidirectional fuzzy inference algorithm is put forward.
将数值拟合技术引入到区间值模糊推理中，提出一种基于数值拟合的区间值模糊双向推理算法。
应用推荐