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- W2356351650 abstract "The thermal compression test of 800H alloy was used to analyze the flow strain behavior of 800H alloy at different temperatures and strain rates.The deformation temperature,strain rate,strain and stress of the alloy obtained through thermal compression experiment were used to establish the hot deformation GRNN network prediction model for 800H alloy.Based on the results of GRNN neural network training,the prediction results of selecting a network smoothing factor of 0.2 are best.The correlation analysis of stresses predicted values and experimental results show that the prediction model of 800H alloy thermal deformation behavior through GRNN neural network has high stability and strong generalization ability,which can be applied in hot deformation behavior prediction of other alloys." @default.
- W2356351650 created "2016-06-24" @default.
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- W2356351650 date "2014-01-01" @default.
- W2356351650 modified "2023-09-24" @default.
- W2356351650 title "Prediction on Thermal Deformation of 800H Alloy Based on GRNN Neural Network" @default.
- W2356351650 hasPublicationYear "2014" @default.
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