数据挖掘在机车检修计划决策支持系统中的应用研究  

Application of Data Mining to Regulations of Locomotive Repairs Decision Support System

作　　者：李宏亮[1] 齐金平[1] 高静涛[1] 蒋兆远[1] 

机构地区：[1]兰州交通大学机电技术研究所,甘肃兰州730070

出　　处：《兰州交通大学学报》2008年第1期117-119,123,共4页Journal of Lanzhou Jiaotong University

摘　　要：介绍了数据挖掘技术在机车检修计划决策支持系统中的应用,通过建立数据挖掘系统模型,利用基于遗传算法的二元决策树对机车当量公里系数的决定因子进行分类预测,获取新的知识,丰富决策支持系统的知识库,更加合理科学的制定机车检修计划,通过项目验证了该数据挖掘模型在系统中的可行性.The application of data mining technology in decision support system is introduced. By using the binary decision tree which is based on the hereditary arithmetic,the model of data mining system is established to classify and anticipate the factor of determination, acquire new knowledge, enrich the knowledge base of decision support system, and carry out more reasonable and scientific programs of locomotive repairs. Finally,the feasibility of the model of data mining in the system is verified by programs.

关 键 词：数据挖掘 决策支持系统 当量公里系数 决策树 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]