1. State Key Laboratory of Rolling and Automation，Northeastern University，Shenyang 110819，Liaoning，China 2. Continuous Rolling Plant of No.3 Steelmaking of Angang Steel Co.，Ltd.，Anshan 114021，Liaoning，China）
Abstract：It is easy to construct a model that meets a certain requirement of precision through neural network base on big data of C-Mn steels. In this case， the original industry data are usually without preprocessed or preprocessed by remove the abnormal value simply. However， there will comes a situation that is contrary to the objective laws if the regularity of the model is further studied. This is due to a large amount of data in the original data to interfere with each other and the discrete distribution of the industry data. Therefore， in order to construct a reasonable model， redundant and large error data must be removed， while the distribution of train data and prediction data must be uniform. In this way， the amount of calculation of the model is reduced while a significant regularity of data is excavated. For the sake of verify the hypothesis of ways to use big data， Bayes regularization neural network was selected to construct a model for mechanical properties of multi-steel number. At the same time， the process parameters which influence on yield strength were analyzed. By statistics， the prediction accuracies of yield strength and tensile strength data are 96.64% and 99.16%， respectively， of which the absolute error between the predicted value and the measured value lies in the ±30 MPa. Among the predicted data of the elongation rate， 85.71% of the data absolute error between predicted value and measured value is within ±4%.
吴思炜 ，周晓光 ，曹光明，史乃安，刘振宇，王国栋. 热轧C-Mn钢工业大数据预处理对模型的改进作用[J]. 钢铁, 2016, 51(5): 88-94.
WU Si-wei，ZHOU Xiao-guang，CAO Guang-ming，SHI Nai-an，LIU Zhen-yu，WANG Guo-dong. Hot rolling C-Mn steel industry big data preprocessing for improvements on the model. Iron and Steel, 2016, 51(5): 88-94.
ZHAO, WENG, PENG, et al. Prediction of Mechanical Properties of Hot Rolled Strip by Using Semi-Parametric Single-Index Model [J]. Journal of Iron & Steel Research International, 2013, 20(7): 9.
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ZHAO, WENG, PENG, et al. Prediction of Mechanical Properties of Hot Rolled Strip by Using Semi-Parametric Single-Index Model [J]. Journal of Iron & Steel Research International, 2013, 20(7): 9.
2016, Vol. 51 
