ID3决策树推理模型及其在道路网选取中的应用

摘要

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.%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.