Transactions of Materials and Heat Treatment

Title：Prediction of rolling force based on grey theory and neural network

Authors： Liu Jiehui Wang Guixia Liu Yongkang

Unit： Hebei University of Engineering

KeyWords： grey system theory BP neural network rolling force prediction

ClassificationCode：

year,vol(issue):pagenumber：2015,40(10):126-129

Abstract：

For the issues of the inaccurate prediction of the hot strip rolling force, the prediction model of gray rolling force was established. Through comparing the advantages and disadvantages of the gray rolling force prediction model with BP neural network prediction model, the method combined gray theory with BP neural network into the prediction of hot strip rolling force prediction was put forward, and the relative error of the rolling force prediction model was analyzed and compared. In the meanwhile, the predicted value of rolling force prediction model of gray neural network was compared with the measured rolling force value of on-line flat rolling，and the error was controlled within ±5%. In this way, the prediction of on-line flat rolling can be accurately achieved by combining the gray theory and BP neural network.

Funds：

河北省自然科学基金资助项目（E2015402112）

刘杰辉(1968-)，男，硕士，副教授

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