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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shihai Zhang Changyong Wang Shujun Liu |
| Copyright Year | 2010 |
| Abstract | 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. |
| Starting Page | 241 |
| Ending Page | 244 |
| File Size | 580885 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424492473 |
| DOI | 10.1109/GCIS.2010.31 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis high-rise building Design methodology Buildings Clustering algorithms structural intelligent scheme design case retrieval Electron tubes Classification algorithms cluster analysis Artificial intelligence k-means algorithm |
| Content Type | Text |
| Resource Type | Article |
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