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- W2358263434 abstract "On the basis of the data obtained from the cam-type plastometer,four prediction models including the BP,Elman,RBF and GRNN neural network prediction models were established,which corresponded to the relationship between the deformation stress of nickel-chrome steel with chemistry elements,temperature,strain rate and deformation strain of the steel respectively.A comparative analysis for the prediction accuracy of the four models was obtained.The results show that neural network is capable for prediction,and RBF possess higher capability in prediction and better adaptability in comparing with other three neural networks." @default.
- W2358263434 created "2016-06-24" @default.
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- W2358263434 date "2010-01-01" @default.
- W2358263434 modified "2023-09-22" @default.
- W2358263434 title "Study on the applications of neural networks for predicting the flow stress during hot rolling of nickel-chrome steel" @default.
- W2358263434 hasPublicationYear "2010" @default.
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