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Intelligent Scheme Design of High-Rise Structure for K-Means-Based Case Retrieval

机译:基于K均值案例检索的高层结构智能方案设计

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In the basic idea of k-means clustering algorithm and its criterion function, step process, the cluster analysis theory and method into intelligent design of high-rise structure was introduced in this paper, the high-rise structure of intelligent design case retrieval method based on the K-Means clustering analysis method was established, and by the given engineering application, the process of clustering results and their spatial distribution, the evaluation function JW with the curves of the increase in the number of iterations and JW monotonically decreasing curve with k( the number of clusters k changes from 2 to 10) were obtained, the weaknesses of the method were pointed out, and the further improvement was given. Practice shows that: k-means cluster analysis method can be effectively used to design case retrieval system in high-rise structures intelligent scheme, and has opened up new ways for the high-rise building intelligent design.
机译:在k均值聚类算法的基本思想及其判别函数,步骤过程中,将聚类分析的理论和方法引入高层建筑智能设计中,提出了基于高层建筑的智能设计案例检索方法。建立了K-Means聚类分析方法,并通过给定的工程应用,对聚类结果及其空间分布的过程,评价函数JW随迭代次数增加的曲线和JW单调递减的曲线随k (获得的簇数k从2变为10),指出了该方法的弱点,并给出了进一步的改进。实践表明:k-means聚类分析方法可以有效地用于高层建筑智能化方案的案例检索系统设计,为高层建筑智能化设计开辟了新的途径。

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