回归技术在超市商品销售趋势预测模型中的应用

Regression Technology Application in Trend Forecast Model for Supermarket Merchandise Sales

回归预测是通过数据库或数据仓库中的历史数据进行数据分析,建立回归模型,进行参数估计,利用模型对所研究的对象进行预测和分析,为经济决策提供依据。以某超市某类商品12个时间段内销售情况表为实例,确定预测模型,使用Matlab软件对模型进行求解,对其预测性能进行评价。

The regression forecast technology is used for data analysis, regression model and parameters estimation by analyzing historical data of the database or data warehouse and the model is used to predict and analyze the object, thus providing a basis for economic decision-making. Certain types of goods to the supermarket sales of 12 time period table are used as an example, the forecasting model is determined by using the Matlab software and its forecast performance is evaluated.