Research on demand forecast of vehicle turnover equipment based on GM(1,1)-BP combined model

According to the historical data characteristics of vehicle turnover equipment demand, a GM (1,1) - BP combined model is established. Firstly, GM (1,1) model is used to forecast the historical data of vehicle turnover equipment demand. On this basis, BP neural network is introduced to correct the re...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-11, Vol.688 (5), p.55008
Main Authors: Zhang, Dapeng, Li, Fengju, Wang, Fengzhong, Xie, Xinpeng
Format: Article
Language:English
Subjects:
Back propagation networks
Economic forecasting
Mathematical models
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Summary:According to the historical data characteristics of vehicle turnover equipment demand, a GM (1,1) - BP combined model is established. Firstly, GM (1,1) model is used to forecast the historical data of vehicle turnover equipment demand. On this basis, BP neural network is introduced to correct the residual of the prediction. It optimizes the forecasting method of vehicle turnover equipment demand, makes up the deficiency of single model, and enhances the accuracy of vehicle turnover equipment demand forecasting.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/688/5/055008