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- W2379939521 abstract "Based on the fact that neural network can approximate arbitrary nonlinear system,the article establishes the billet temperature prediction model.Due to heat flux coefficient,heat conduction coefficient,specific heat and density of billet is constantly changed with temperature.so,we adopt multiple BP neural network for temperature predition in order to adapt changes of the physical parameters of billet,according to reheating furnace segment zone.Simulation results show that the model is simple,high precision,corresponded with engineering in practice." @default.
- W2379939521 created "2016-06-24" @default.
- W2379939521 creator A5030020082 @default.
- W2379939521 date "2010-01-01" @default.
- W2379939521 modified "2023-09-23" @default.
- W2379939521 title "Billet Temperature Prediction Based on Reheating Furnace Zone BP Neural Network" @default.
- W2379939521 hasPublicationYear "2010" @default.
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