Author(s)

Xiaoduo Zhang, Jinxuan Yang, Rui Zhai, Wanmei Cui

Corresponding Author

Xiaoduo Zhang

ABSTRACT

This paper uses the neural network multi-layer perceptron, grey prediction method, moving average method, and other methods to construct grey prediction and time series models and comprehensively uses MATLAB, C language, to aim at forecasting demand SPSS, and Excel software to program and solve. First, predict the monthly sales of a target subclass in a specified month and calculate the MSRE. The data are preprocessed with Excel and C language, then the time series model is used, the moving average method is used to predict and analyze the data, and MATLAB is used to solve the problem and get the prediction results. Then forecast the weekly sales of the specified week in the target subcategory and calculate all MSRE. First of all, the data is preprocessed with Excel and C language. Then the grey prediction model is established and solved by MATLAB, and the prediction results are obtained.

KEYWORDS

Forecast demand, correlation analysis, moving average forecast, grey prediction