期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
ARTIFICIAL NEURAL NETWORKS BASED GEARS MATERIAL SELECTION HYBRID INTELLIGENT SYSTEM 被引量:1
1
作者 X.C.Li W.X.Zhu +3 位作者 G.Chen D.S.Mei J.Zhang K.M.Chen 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2003年第6期543-546,共4页
An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness of expert system (ES) and ANNs and the applications in mat... An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness of expert system (ES) and ANNs and the applications in material select of them. The system mainly consists of tow parts: ES and ANNs. By being trained with much data samples, the back propagation (BP) ANN gets the knowledge of gear materials selection, and is able to inference according to user input. The system realizes the complementing of ANNs and ES. Using this system, engineers without materials selection experience can conveniently deal with gear materials selection. 展开更多
关键词 artificial neural network expert system hybrid intelligent sys-tem gear materials selection
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部