Forecast Model of Coal Demand Based on Improved Gray BP Neural Network

摘要：

　　Based on gray GM (1, 1) model, this paper uses BP neural network to modify the residuals, and builds the gray BP neural network combined forecasting model to fit and forecast the total coal consumption in China.The combined model overcomes the nonlinear effects of data and the effect of stochastic fluctuation on prediction accuracy, and enhances the prediction adaptability.The results show that the combined model has the advantage of good prediction accuracy and the prediction result is credible.

关键词： Coal demand GM (1,1) BP neural network gray BP neural network

作者: Guo-Hua GOU

作者单位: Department of Modern Management, Zhengzhou Technical College, Zhengzhou, China

会议类型: 国际会议

会议名称: The 6th International Conference on Logistics and Supply Chain Management 2016(第六届物流工程与供应链管理国际研讨会)

会议地点: 长沙

会议语种:英文

页码: 98-105

在线出版日期: 2016-12-01（万方平台首次上网日期，不代表论文的发表时间）