中国机械工程2012，Vol.23Issue(2)：204-207,4.
基于改进BP神经网络的连铸漏钢预报
Breakout Prediction Based on Improved BP Neural Network in Continuous Casting Process
摘要
Abstract
LM algorithm was introduced to the training process of a BP neural network and a LM--BP neural network model was established aiming at the defects of slow convergence in the train- ing process of the traditional BP neural network. The LM--BP neural network model was applied to the breakout prediction in the continuous casting processes, and it was tested with the historical data collected from a steel mill. The feasibility and the validity of the model are verified by the results with the accuracy rate of 96.15% and the prediction rate of 100%关键词
连铸/漏钢预报/LM算法/BP神经网络Key words
continuous casting/breakout prediction/LM （Levenberg Marquardt） algorithm/BP neural network分类
矿业与冶金引用本文复制引用
张本国,李强,王葛,张水仙..基于改进BP神经网络的连铸漏钢预报[J].中国机械工程,2012,23(2):204-207,4.基金项目
河北省科学技术研究与发展计划资助项目(07212119D) （07212119D）
