fuzzy basis function

基本解释

In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output(MIMO) nonlinear systems.
针对多输入-多输出（MIMO）非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
Fuzzy basis function network (FBFN) based on T S fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present.
给出了基于T S模型的模糊基函数网络（FBFN），并提出了一种基于FBFN的未知系统故障信息检测通用方法。
A framework for modeling cylindrical traverse grinding surface roughness using fuzzy basis function neural networks(FBFN) was constructed with adaptive least-square(ALS) training algorithm.
建立了外圆纵向磨削表面粗糙度的模糊基函数网络（FBFN）预测模型，网络的训练采用自适应最小二乘算法（ALS）。