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《Light Industry Machinery》 2011-03
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Genetic Algorithm Optimized Neural Network Prediction Model of Weld Penetration

ZHANG Xian,JIANG Ai-rong(The MOE Key Laboratory of Special Purpose Equipment and Advanced Processing Technology,Zhejiang University of Technology,Hangzhou 310014,China)  
According to the influencing factors of weld penetration caused by gas melt arc welding,this paper combined with genetic algorithm and established a predicted model of weld penetration of BP neural network in which the input are welding current,welding voltage,welding velocity and weld width and the output is weld penetration.The simulation test and result analysis show that BP neural network can get better initial weights and thresholds and significantly improve its performance with the using of genetic algorithm;the established model coinciding with theortic research on weld penetraion has smaller prediction error,better comparing capability and higher prediction accuracy.It has certain guiding senses to the practical engineering projects.
【CateGory Index】: TG444.72;TP183
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