Rainfall forecast model of modular fuzzy neural network based on fuzzification

A new forecast model of precipitation is exemplified by use of modular fuzzy neural network to daily forecasts of 25 weather stations'average precipitation of southwest Guangxi in May and June.The 25 weather stations'rainfull forecast model is established based on the pretreatment of input factors by empirical orthogonal function and fuzzification approach.Daily operational forecast trial of the new model is made.The results show that the new forecast model is superior in prediction accuracy to the general modular fuzzy neural network model or the stepwise regression procedure in daily precipitation forecast in the period.The prospects for the application of the new model are proved.