Application of Gray B6 P Neural Network in Henan Coal Demand Forecast

摘要：

　　This paper studied the coal demand in the prediction accuracy problems.The traditional gray GM(1,1)model has the theoretical prediction problem of poor accuracy which leaded to less accurate prediction.A modified gray BP Neural Network forecasting model was used to predict the residual correction.The total consumption of coal as a major factor in variables was selected to construct forecast of coal demand The simulation results show that the proposed algorithm has better prediction accuracy and is an effective demand forecasting algorithm

作者: Guohua GOU

作者单位: Department of Modern Management,Zhengzhou Technical College,Zhengzhou 450121,China

会议类型: 国际会议

会议名称: 2018年建筑、航空与环境工程国际学术论坛-物联网(IFCAE-IOT 2018)2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things(IFCAE-IOT 2018)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2018-05-11（万方平台首次上网日期，不代表论文的发表时间）