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作 者:徐立[1,2] 孙群 徐明世[3] 马京振 XU Li;SUN Qun;XU Ming-shi;MA Jing-zhen(Institute of Surveying and Cartographic,Information Engineering University,Zhengzhou 450001;State Key Laboratory of Geo-information Engineering,Xi'an 710054;69027 Troops,Urumqi 830000,China)
机构地区:[1]信息工程大学地理空间信息院 [2]地理信息工程国家重点实验室 [3]69027部队
出 处:《地理与地理信息科学》2018年第5期20-24,共5页Geography and Geo-Information Science
基 金:国家自然科学基金项目(41201391);地理信息工程国家重点实验室基金项目(SKLGIE2015-M-4-6)
摘 要:为解决普通用户难以快速选择合适的地图投影的问题,借鉴人工智能领域案例推理学习的应用成果,提出一种基于案例类比推理的地图投影选择方法:将实际应用中的地图投影选择结果作为参考标准,对其进行案例化描述并构建案例库;在计算机选择地图投影时,采用基于案例类比推理的方法,分析获取与地图投影应用情景相匹配的案例,进而辅助用户选择合适地图投影。与传统方法相比,该方法以大量地图投影应用实例为基础,采用案例模型模拟专家知识,以计算机对案例的类比推理进行地图投影选择,增强了地图投影选择的智能性。最后通过实验验证了该方法的科学性和适用性,并指出了存在的问题和进一步的研究方向。Using the application result of case-based reasoning(CBR)in the field of artificial intelligence,an approach of map projection selection based on CBR is put forward to help ordinary users to select appropriate map projection quickly.The results of map projection selection have been taken as the reference standard in the practical application and the case library has been built after describing them as cases.When the computer chooses the map projection,the approach based CBR is used to analyze and achieve the cases corresponding to the situation of map projection selection,and then it can assist the user to select the appropriate map projection.Compared with the traditional approach,this approach uses the case model to simulate the expert knowledge based on many examples of map projection application,and chooses the map projection using CBR method,which enhances the intelligence of the map projection selection.Finally,the scientific availability and usability of the new approach are verified by experiments.The existing problems and further research directions are also pointed out.
分 类 号:P282.1[天文地球—地图制图学与地理信息工程]
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