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)。