AN EXPERT SYSTEM FOR PREDICTING THE REGIONAL HEAVY RAIN

This paper outlines an expert system for predicting the regional heavy rain, including its structure, functions, characteristics, knowledge processing, inference performance, the running, results and conclusions.This system can accept, recognize, analyse, explain, understand, use, appreciate and refine the forecasting knowledge in MKL (Meteorological Knowledge Language) taught by meteorologists. The MKL language is good for describing meteorological knowledge and can represent almost all forecasting knowledge, thus enabling the system, with a great range of knowledge, to raise the processing abilities. The complex inference procedure can also be simplified by using MKL language.