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2013 (Vol. 6, Issue: 22)
Article Information:

Optimization Design based on BP Neural Network and GA Method

Bing Wang and Xiaoli Wang
Corresponding Author:  Bing Wang 

Key words:  GA, neural network, optimization control, , , ,
Vol. 6 , (22): 4121-4124
Submitted Accepted Published
March 06, 2012 January 11, 2013 December 05, 2013
Abstract:

This study puts forward one kind optimization controlling solution method on complicated system. At first modeling using neural network then adopt the real data to structure the neural network model of pertinence, make the parameter to seek to the neural network model excellently by mixing GA finally, thus got intelligence to the complicated system to optimize and control. The method can identify network configuration and network training methods. By adopting the number coding and effectively reducing the network size and the network convergence time, increase the network training speed. The study provides this and optimizes relevant MATLAB procedure which controls the method, so long as adjust a little to the concrete problem, can believe this procedure well the optimization of the complicated system controls the problem in the reality of solving.
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  Cite this Reference:
Bing Wang and Xiaoli Wang, 2013. Optimization Design based on BP Neural Network and GA Method.  Research Journal of Applied Sciences, Engineering and Technology, 6(22): 4121-4124.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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