摘要
介绍了自动制图综合中知识推理的研究现状及存在的问题,指出了借鉴人工智能优秀技术成果提升自动综合智能化水平是解决当前问题的重要途径之一。对ID3智能算法的基本原理进行了详细介绍,提出基于ID3决策树的知识推理模型。将该模型引入到道路网智能化选取当中。对该模型应用到道路网自动选取的合理性进行了论述,并进行了实验验证。在对实验结果进行详细分析的基础上,探讨了该算法应用于道路网选取的优势和不足,指出了进一步研究的方向。
After introducing the status of knowledge reasoning and the existing problems in automatic map generalization, the way of referencing artificial intelligence technology achievements to improve the intelligence outstanding of automated generalization in cartography was pointed out. Based on introducing the basic principles of ID3 decision tree, a new approach of binding ID3 decision tree and knowledge reasoning was put forward, which was then applied to select road network automatically. The rationalities were discussed, and an experiment was given. Based on the results of examples, the advantages and shortcomings of this approach were analyzed, and the future research direction was pointed out at last.
出处
《测绘科学技术学报》
北大核心
2012年第4期308-312,共5页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41171305
40701157)
国家863计划项目(2007AA12Z211)
河南省创新型科技人才队伍建设工程项目(104200510016)
信息工程大学测绘学院硕士学位论文创新与创优基金
关键词
ID3决策树
知识推理
自动制图综合
道路网
人工智能
ID3 decision tree
knowledge reasoning
automated cartography generalization
road network
artificial intelligence
