Fuzzy Recognition Optimization Model for Mid and Long Term Runoff Forecasting
Xican Li, Jing Wang · Shuxue de shijian yu renshi · 2010
The paper has further studied the algorithm of fuzzy recognition for mid and long term runoff forecasting,based on the new fuzzy objective function with subjective supervision factor and stability coefficient,the fuzzy recognition model for mid and long term runoff forecasting is presented.The optimization principle is that forecasting model was built according to known samples' best fuzzy classification,and the forecasting model's parameters are determined by using samples' index and best fuzzy classification,and the forecasting model's parameter are optimized through adjusting subjective supervision factor at given stability coefficient. The method presented in this paper is applied to runoff forecasting,the predicted result's mean relative error is 7.84%.