fuzzy basis function

基本解釋

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.
針對多輸入-多輸出（MIMO）非線性系統(tǒng)基于模糊基函數(shù)向量提出了一種新的自適應控制方法。
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.
給出了基于T S模型的模糊基函數(shù)網(wǎng)絡（FBFN），并提出了一種基于FBFN的未知系統(tǒng)故障信息檢測通用方法。
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.
建立了外圓縱向磨削表面粗糙度的模糊基函數(shù)網(wǎng)絡（FBFN）預測模型，網(wǎng)絡的訓練采用自適應最小二乘算法（ALS）。