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FKM-based clustering case retrieval of the high-rise building structural intelligent scheme design

机译:基于FKM的聚类案例检索高层建筑结构智能方案设计

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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.
机译:首先,分析了传统“硬质聚类”的缺点;并提出了模糊聚类的基本原理和算法步骤,它可以表达和处理本质上不清楚的对象。其次,介绍了理论和聚类分析方法以设计高层结构;基于模糊K型聚类分析,建立了高级结构智能设计的案例检索方法。最后,给出了工程应用程序的示例,其中26个项目数据被用作群集和实例检索的基础;前20个数据用于群集和用于实例检索的最后4个数据,群集成员是k = 4。实践表明,模糊的K-MEARE群集分析方法对于获得实例的高层结构的智能设计是有效的,并为高层建筑智能设计开辟了新的方式和手段。

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