Forecasting Model Based on Generalized Grey Neural Network

摘要：

This paper presents a new generalized GM(1,1) model based on the traditional GM (1,1) model, then combines the generalized GM(1,1) model and the theory of neural network to establish a new forecasting model, i.e. GGNNM(1,1) model, and gives the algorithm for solving this new model. Finally, this new model is applied in forecasting the amount of mine gas emission. The forecasting results show that the GGNNM(1,1) model has the advantages of good applicability, high forecasting precision and simple in computing.

作者: Congjun Rao Jin Peng

作者单位: College of Math. and Information Sciences Huanggang Normal University Hubei,438000,China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）