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

Author

Guo-fu, Tian ; Shu-hui, Sun ; Zhen-dong, Zhu

Author_Institution

Sch. of Mech. Eng., Shenyang Univ. of Technol., Shenyang, China

Volume

2

fYear

2010

fDate

16-17 Dec. 2010

Firstpage

78

Lastpage

80

Abstract

Aimed at problems of large amount 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 precision 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.

Keywords

charts; design engineering; fuzzy reasoning; machinery production industries; mechanical engineering computing; neural nets; production engineering computing; artificial neural net; data processing; data recognition; machine design; neural-fuzzy reasoning system; Artificial neural networks; Cloud computing; Data processing; Graphics; Inference algorithms; Presses; Training; Data processing; Mechanical design; Neural-fuzzy system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9247-3

Type

conf

DOI

10.1109/GCIS.2010.248

Filename

5708791