Annual Runoff Prediction Model Based on Information-Diffusion Approximate Reasoning
Duan Chun-qing · Jieshui guan'gai · 2008
Through analysis of annual runoff time-series characteristic,the information-diffusion approximate reasoning method is used to describe the complex nonlinear relationship among annual runoff,and the annual runoff prediction model based on information-diffusion approximate reasoning is established in this paper.The information-diffusion approximate reasoning method converts the sample points to fuzzy set,partly compensates the information vacancy caused by incomplete data,and can convert incompatible mode to compatible mode.Compared with traditional prediction method,the information-diffusion approximate reasoning model can well smooth the difference among the sample data and mine uncertain knowledge.It also has good prediction precision and promotion value.