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Prediction of flow stresses at high temperatures with artificial neural networks 被引量:1
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作者 汪凌云 郑廷顺 +1 位作者 刘雪峰 黄光杰 《中国有色金属学会会刊:英文版》 CSCD 2001年第2期213-216,共4页
On the basis of the data obtained on Gleeble 1500 Thermal Simulator, the predicting models for the relation between stable flow stress during high temperature plastic deformation and deformation strain, strain rate an... On the basis of the data obtained on Gleeble 1500 Thermal Simulator, the predicting models for the relation between stable flow stress during high temperature plastic deformation and deformation strain, strain rate and temperature for 1420 Al Li alloy have been developed with BP artificial neural networks method. The results show that the model on basis of BPNN is practical and it reflects the actual feature of the deforming process. It states that the difference between the actual value and the output of the model is in order of 5%. [ 展开更多
关键词 Al Li alloy high temperature plastic deformation flow stress neural networks
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