An improved neural network model for prediction of mechanical properties of magnesium alloys |
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| Authors: | TANG AiTao LIU Bin PAN FuSheng ZHANG Jing PENG Jian & WANG JingFeng College of Materials Science & Engineering Chongqing University Chongqing China National Engineering Research Center for Magnesium Alloys |
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| Institution: | TANG AiTao 1,2,LIU Bin 1,PAN FuSheng 1,ZHANG Jing 1,PENG Jian 1,2 & WANG JingFeng 1,2 1 College of Materials Science & Engineering,Chongqing University,Chongqing 400044,China,2 National Engineering Research Center for Magnesium Alloys |
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| Abstract: | An improved neural network model was developed for prediction of mechanical properties in the design and development of new types of magnesium alloys by refining the types of input variables and using a more reasonable algorithm.The results showed that the improved model apparently decreased the prediction errors,and raised the accuracy of the prediction results.Better preprocessing parameters were found to be0.15,0.90]for the tensile strength,0.1,0.9]for the yield strength,and0.15,0.90]for the elongatio... |
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| Keywords: | magnesium alloys neural network model composition mechanical properties |
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