摘要
为了实现对热轧现货价格变化的短期预测,本文提出一种基于多元线性回归模型与整合移动平均自回归(Autoregressive Integrated Moving Average,ARIMA)模型的组合预测模型,运用优化组合的模型预测热轧现货未来的现货价格。实验结果表明,该组合模型在预测精度方面有提高,具有一定的实用价值.
In order to realize the short-term prediction of hot rolling spot price change,a combined prediction model based on multiple linear regression model and ARIMA model is proposed in this paper.The optimal combination model is used to predict the future spot price of hot rolling spot.The experimental results show that the combination model improves the prediction accuracy and has certain practical value.
作者
陆晓骏
成常杰
LU Xiaojun;CHENG Changjie(Ouyeel Co.,Ltd.,Shanghai 201999,China)
出处
《信息与电脑》
2022年第5期7-9,共3页
Information & Computer
