首页|期刊导航|中国地震研究（英文版）|Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0
中国地震研究（英文版）2005，Vol.19Issue(1)：43-53,11.
Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0
Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0
摘要
Abstract
Knowledge representation is a key to the building of expert systems. The performance of knowledge representation methods directly affects the intelligence level and the problem-solving ability of the system. There are various kinds of knowledge representation methods in ESEP3.0. In this paper, the authors introduce the knowledge representation methods, such as structure knowledge, seismological and precursory forecast knowledge, machine learning knowledge, synthetic prediction knowledge, knowledge to validate and verify certainty factors of anomalous evidence and support knowledge, etc. and propose a model for validation of certainty factors of anomalous evidence. The knowledge representation methods represent all kinds of earthquake prediction knowledge well.关键词
Expert system/Knowledge representation/Fuzzy associative memory (FAM)/Certainty factorKey words
Expert system/Knowledge representation/Fuzzy associative memory (FAM)/Certainty factor分类
天文与地球科学引用本文复制引用
Wang Wei,Wu Gengfeng,Zhang Bofeng,Zheng Zhaobi,Liu Hui,Li Sheng..Knowledge Representation Methods in Expert System for Earthquake Prediction ESEP 3.0[J].中国地震研究（英文版）,2005,19(1):43-53,11.基金项目
The project was under the 10th Five-Year Key Technologies R & D Programs of Ministry of Science and Technology, Sub-Item No. 2001BA601B01-04-04, and the National Natural Science Foundation of China (60203011). （60203011）
