关键词: 模糊逻辑, 神经网络, 学习算法, 切削力, 伺服电机电流

Abstract: Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems,and develops a new learning algorithm. In order to solve the problem that dynamometer can't be directly used for intelligent NC machining. the feed motor current is employed for indirect cutting force measurements with this model. Experiments are presented to illustrate the effectiveness of the proposed model.

Key words: fuzzy logic, neur al networ k, lear ning algorithm, cutting for ce, feed motor cur rent