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차용훈,김일수,김하식,이연신,김덕중,성백섭,서준열 韓國工作機械學會 2000 한국생산제조학회지 Vol.9 No.6
In order to achieve effective prediction of residual stresses, the series experiment were carried out and the residual stress-es were measured using the backpropagation algorithm from the neural network and the sectional method. Using the experimental results, the optiomal control algorithms using a neural network should be developed in order to reduce the effect of the external disturbances on residual stresses during GMA welding processes. The results obtained from the comparison between the measured and calculated results, showed that the neural network based on backpropagation algorithm can be used in order to control weld quality. This system can not only help to under-stand the interaction between the process parameters and residual stress, but also, improve the quantity control for welded structures. The development of the system is goal in this study.