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    欧进萍

    • 教授     博士生导师
    • 性别:男
    • 毕业院校:哈尔滨建筑大学
    • 学位:博士
    • 所在单位:建设工程学院
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    FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

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      发布时间:2019-03-11

      论文类型:会议论文

      发表时间:2012-05-25

      收录刊物:Scopus、CPCI-S、EI

      卷号:174-177

      页面范围:1748-+

      关键字:high-rise building; design of the structural intelligent scheme; case retrieval; clustering analysis; fuzzy k-means algorithm

      摘要:Firstly, the disadvantage of the traditional "hard clustering" was analyzed; and the basic principles and algorithm steps of the fuzzy clustering was presented, it can express and process the class of objects which is not clearly in nature. Secondly, the theory and cluster analysis method is introduced to design high-rise structure; based on the fuzzy K-Means clustering analysis, the case retrieval method of the high-level structural intelligent design was established. Lastly, the example of engineering application was given in where the 26 projects data was used as the basis for the cluster and instance retrieval; the former 20 data is used to cluster and the last 4 data used to instance retrieval, the clustering member is k=4. Practice shows that the fuzzy k-means cluster analysis method is effective for the intelligent design of high-rise structure to obtain an instance, and opens up new ways and means for the high-rise building intelligent design.