期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Development of an electrode intelligent design system based on adaptive fuzzy neural network and genetic algorithm
1
作者 Huang Jun Xu Yuelan +1 位作者 Wang Luyuan Wang Kehong 《China Welding》 EI CAS 2014年第2期62-66,共5页
The coating on the electrodes contains many kinds of raw materials which affect significantly on the mechanical properties of deposited metals. It is still a problem how to predict and control the mechanical propertie... The coating on the electrodes contains many kinds of raw materials which affect significantly on the mechanical properties of deposited metals. It is still a problem how to predict and control the mechanical properties of deposited metals directly according to the components of coating on the electrodes. In this paper an electrode intelligent design system is developed by means of fuzzy neural network technology and genetic algorithm,, dynamic link library, object linking and embedding and multithreading. The front-end application and customer interface of the system is realized by using visual C ++ program language and taking SQL Server 2000 as background database. It realizes series functions including automatic design of electrode formula, intelligent prediction of electrode properties, inquiry of electrode information, output of process report based on normalized template and electronic storage and search of relative files. 展开更多
关键词 electrode design system adaptive fuzzy neural network genetic algorithm object linking and embedding
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部