摘要
本文描述了一个利用人工智能专家系统技术对铁路边坡发生滑坡进行识别和分类的系统.该系统将铁路滑坡专家在滑坡识别及分类方面的经验、知识存储于知识库中,利用模糊推理过程替代传统的隶属函数表述因素之间关系的方法,完成对滑坡的识别和分类工作.
This paper reprensents a research work of identification and classifica- tion of railway slope landslide using technology of expert system in Artificial Intelligence called LIC.The system has collected a lot of railway experts rich experience and knowledge on identification and classification of landslide, and put them to knowledge base.The system has utilized fuzzy reasoning as con- trol strategy to replace the traditional method of representing relationship between factors by subordination functions.
出处
《北方交通大学学报》
CSCD
北大核心
1993年第1期73-77,共5页
Journal of Northern Jiaotong University
关键词
专家系统
滑坡
分类
铁路
边坡
expert system
landslide
classification/fuzzy reasoning