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基于文本聚类的变电工程变更特征识别研究
Research on the Identification of Variation Characteristics of Substation Project Based on Text Clustering Model
【摘要】 基于输变电工程和数据对象的特点,结合粒子群优化算法,构建变电工程变更签证的文本聚类模型,并通过构建领域本体,提出适用的数据处理方式及文本相似度计算方法,最后识别4类变电工程常见工程变更类型,并分析各类变更特征。
【Abstract】 According to the characteristics of substation project and data objects,this paper builds a text clustering model for substation engineering change date,which is optimized through swarm optimization algorithms.Furthermore,proposes suitable data processing methods and text similarity calculation methods by constructing domain ontology.Finally,identifies 4 types of common variation of substation projects,and analyzes their characteristics.
【关键词】 变电工程;
变更特征;
文本聚类;
PSO算法;
本体;
【Key words】 substation project; variation characteristics; text clustering; PSO algorithm; Ontology;
【Key words】 substation project; variation characteristics; text clustering; PSO algorithm; Ontology;
- 【文献出处】 建筑经济 ,Construction Economy , 编辑部邮箱 ,2020年S2期
- 【分类号】TP391.1;TM73
- 【被引频次】1
- 【下载频次】110