DocumentCode
3043610
Title
Implementation of Fuzzy neural-network genetic algorithm based on MCGS
Author
Xianghua, Ren ; Xuefeng, Liang ; Jiqiang, Zhai ; Feng, Guo
Author_Institution
Sch. of Comput. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
Volume
1
fYear
2012
fDate
18-20 May 2012
Firstpage
294
Lastpage
297
Abstract
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 man-machine 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.
Keywords
COM/DCOM component; MCGS; fuzzy neural network; genetic algorithm; matlab;
fLanguage
English
Publisher
ieee
Conference_Titel
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location
Harbin, China
Print_ISBN
978-1-4577-1601-0
Type
conf
DOI
10.1109/MIC.2012.6273257
Filename
6273257
Link To Document