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

摘要：

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.

关键词： continuous casting breakout prediction LM algorithm BP neural network

作者: ZHANG Ben-guo LI Qiang WANG Ge GAO Ying

作者单位: College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China College of Material College of Materials Science and Engineering, Hebei University of Science & Technology, Shijiazhuang

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 765-768

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）