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 :
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