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RBF-Type Artificial Neural Network Model Applied in Alloy Design of Steels 被引量:4
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作者 YOU Wei LIU Ya-xiu +1 位作者 BAI Bing-zhe FANG Hong-sheng 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2008年第2期87-90,共4页
RBF model,a new type of artificial neural network model was developed to design the content of carbon in low-alloy engineering steels.The errors of the ANN model are:MSE 0.052 1,MSRE 17.85%,and VOF 1.932 9.The result... RBF model,a new type of artificial neural network model was developed to design the content of carbon in low-alloy engineering steels.The errors of the ANN model are:MSE 0.052 1,MSRE 17.85%,and VOF 1.932 9.The results obtained are satisfactory.The method is a powerful aid for designing new steels. 展开更多
关键词 radial-basis-function artificial neural network carbon alloy design neurobalance
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