Data Processing of Machine Design Based on Neural-Fuzzy Reasoning System

Aimed at problems of large amoumt of calculation and too many charts existed in the field of machine design, a kind of neural-fuzzy reasoning system was applied to carry out mapping discrimination in order to raise computing speed and processing ability of programming and eliminate the phenomenon of “combined explosion” of knowledge. It is shown by means of practical application to concrete data and charts that the relation of primary charts and data can be nicely expressed by the use of this kind of method. At the same time, this method has more high precission and more quick speed on data recognition and can satisfy the requirement of designing computation when compared with the method of using merely artificial neural net.