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Breakout Prediction Based on BP Neural Network of LM Algorithm in Continuous Casting Process

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4 Author(s)
Ben-guo Zhang ; Coll. of Mech. Eng., Yanshan Univ., Qinhuangdao, China ; Qiang Li ; Ge Wang ; Ying Gao

An improved BP neural network model was presented by modifying the learning algorithm of the traditional BP neural network, based on the Levenberg-Marquardt algorithm, and was applied to the breakout prediction system in the continuous casting process. The results showed that the accuracy rate of the model for the temperature pattern of sticking breakout was 96.43%, and the quote rate was 100%, that verified the feasibility of the model.

Published in:

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on  (Volume:1 )

Date of Conference:

13-14 March 2010

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