摘要
研究利用人工智能实现铁路车辆自动判别的方法 ,提出用框架结构描述车型 ,并研究车型知识库建立方法 ,给出采用推理的方法来判别车辆的算法 ,文中特别论述了在轴距数据不完整情况下 ,利用规则库进行轴距插补的判断并实现准确判辆的过程 ,最后介绍了判辆系统实现及提高其性能的方法。
The method of identifying railway vehicle by utilizing artificial intelligence is studied in this paper. The railway vehicle's types are described with the framework. The vehicle knowledge base is established based on their framework description. The arithmetic of identifying vehicle by inference is expounded. The disposal of imperfect distance data between axles of a vehicle is discussed especially and a rule base is structured for identifying railway vehicle in this case. The method of realization and application of the identifying railway vehicle system has been introduced finally.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2000年第6期46-49,共4页
Journal of the China Railway Society
关键词
人工智能
知识库
推理
铁路车辆判别方法
artificial intelligence
knowledge base
inference
identifying vehicle
