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作 者:蓝晓东 赵敏彤 黄欣 肖勇 LAN Xiao-dong;ZHAO Min-tong;HUANG Xin;XIAO Yong(Power Grid Planning Research Center of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080 China;Power business department of Taoluezhence(Shenzhen)Management Consulting Co.,Ltd.,Guangzhou 510080 China)
机构地区:[1]广东电网有限责任公司电网规划研究中心,广东广州510080 [2]韬略臻策(深圳)管理咨询有限公司电力事业部,广东广州510080
出 处:《自动化技术与应用》2024年第6期112-115,共4页Techniques of Automation and Applications
摘 要:当前的传统信息检索系统无法有效识别出AI地图的多维信息。为此,提出基于H型指数的AI多维知识地图信息检索方法。该方法对AI多维知识地图数据信息完成相似性计算,获取地图信息的相似度值,并结合H型指数获取地图信息的中心性指标;通过确定的检索边界以及选取的模型参数,构建地图信息的多维检索模型,通过模型求解结果,实现信息的检索。实验结果表明,该方法应用下,检索时间短,查全率、查准率均高于90%。The current traditional information retrieval system can not effectively identify the multi-dimensional information of AI map.Therefore,an information retrieval method of AI multi-dimensional knowledge map based on H-type index is proposed.This method calculates the similarity of AI multi-dimensional knowledge map data,obtains the similarity value of map information,and obtains the centrality index of map information combined with H-type index.Through the determined retrieval boundary and the selected model parameters,the multi-dimensional retrieval model of map information is constructed,and the information retrieval is realized through the model solution results.The experimental results show that the retrieval time is short,the recall rate is high,and the precision rate is higher than 90%.
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