Study on Combination of ANN Method with Mean Generating Functions for Short-Term Climate Prediction

摘要：

Artificial nenral network (ANN) and mean value generating functions in combination are employed to construct a nonlinear long-range prediction model to investigate climate variation on an annual basis for 2～3 years to come with more success and another important feature of the model is that it can well explain correct and wrong results for they have greatly differing structures of output both from fitting and prediction. The study may open up a new way to this branch of science.

关键词： neural network long-range prediction mean (value) generating function (MGF)

作者: Jin Long Qing Liangwei

作者单位: Jiangsu Research Institute of Meteorological Sciences, Nanjing 210008 Department of Mathematics, Nanjing Institute of Meteorology, Nanjing 210044

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 1019-1023

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）