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ln this paper , some popular approaches to combine neural networks and fuzzy logic systems a陀 briej1.y surveyed. Then, a novel combination model ispresented 戸rsynthetic integration of raiゆ 1. The presented model consists of戸urnetwork layers: input lay問 問吋ershipfu町 tionconstructing lay町 lf件rencelayer and defuzzification layer . The combination model is trained using three kinds of戸recastedraiゆ1data, produced by gradual regression method, periodic analysis plus multi-layer method and model output statistics method, as inputs and real rainfall as outjロuts in Zhejia噌 provincejト'om1980 to 1997. Then the trained mod,々 isemployed to integrateグorecastthe rainfall of Zhejiang province from 1998 to 2000 lntegration results show that the presented model can achieve sati .φctOfアforecastperformance.

A Synthetic Integration Model for Meteorological Forecast Based on Neural Networks and Fuzzy Logic