AN EXPERT SYSTEM FOR PREDICTING THE REGIONAL HEAVY RAIN

Dai Honghua; Zheng Qisong; Zhao Zhaoxin

doi:10.1007/BF02656748

Impact Factor: 5.8

Volume 4 Issue 4

Oct. 1987

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1987 > 4(4): 496-505

AN EXPERT SYSTEM FOR PREDICTING THE REGIONAL HEAVY RAIN

1.
Institute of Atmospheric Physics, Academia Sinica, Beijing,Wuhan Central Meteorological Observatory, Wuhan,Wuhan Central Meteorological Observatory, Wuhan

doi: 10.1007/BF02656748

Abstract
References
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Abstract:
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 ena-bling 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.
References

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Manuscript History

Manuscript received: 10 October 1987

Manuscript revised: 10 October 1987

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

AN EXPERT SYSTEM FOR PREDICTING THE REGIONAL HEAVY RAIN

1. Institute of Atmospheric Physics, Academia Sinica, Beijing,Wuhan Central Meteorological Observatory, Wuhan,Wuhan Central Meteorological Observatory, Wuhan

Manuscript received: 1987-10-10
Manuscript revised: 1987-10-10

Abstract: 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 ena-bling 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.