Publisher： Trans Tech Publications
E-ISSN： 1662-9752|2016|849|259-265
ISSN： 0255-5476
Source： Materials Science Forum, Vol.2016, Iss.849, 2016-04, pp. : 259-265
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Prediction of High Cycle Fatigue Property of Ti-6Al-4V Alloy Using Artificial Neural Network
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