Implementation of Fuzzy Neural-network Genetic Algorithm Based on MCGS

摘要：

To compensate for disadvantage of configuration software is used in the advanced controlling algorithm such as Fuzzy neural network genetic algorithm, which script is very simple and incapable for certain complex controlling algorithms, and the real-time control cannot be used directly. This paper propose to merge the operational technology of friendly visual interface in MCGS configuration software into the great ability of calculation of Matlab with sequentially stable manmachine interface by COM/DCOM component technology, which not only improve the ability of real-time control but get-rid of the environmental leash of Matlab as welL Experimental result demonstrates it successfully.

关键词： MCGS matlab fuzty neural network genetic algorithm COM/DCOM component

作者: Ren xianghua Liang xuefeng zhaijiqiang Guo feng

作者单位: School of Computer Science, Harbin University of Science and Technology Harbin, China Department of Electrical Building and Intelligent Harbin Institute of Technology, Harbin, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 294-297

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）