FKM-Based Clustering Case Retrieval of the High-Rise Building Structural Intelligent Scheme Design
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...
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| Published in: | Applied Mechanics and Materials Vol. 174-177; pp. 1748 - 1752 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Zurich
Trans Tech Publications Ltd
01.05.2012
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| Subjects: | |
| ISBN: | 9783037854235, 3037854235 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online Access: | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Zhang, Shi Hai Ou, Jin Ping Liu, Shu Jun Zhang, Shi Zhong |
| Author_xml | – givenname: Shu Jun surname: Liu fullname: Liu, Shu Jun email: lsj.6290@163.com organization: Changshu Institute of Technology : School of Electric and Automatic Engineering – givenname: Jin Ping surname: Ou fullname: Ou, Jin Ping email: oujinping@hit.edu.cn organization: Dalian University of Technology : Institute of Civil Engineering and Water Conservancy – givenname: Shi Zhong surname: Zhang fullname: Zhang, Shi Zhong email: 573275238@qq.com organization: Nanyang Institute of Technology : Architechtural Design Institute – givenname: Shi Hai surname: Zhang fullname: Zhang, Shi Hai email: zshhit@vip.sina.com organization: Nanyang Institute of Technology : Civil Engineering College |
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| Cites_doi | 10.1109/TSMC.1971.5408605 10.1007/BF02884971 10.1016/0020-0255(95)00231-6 |
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| Copyright | 2012 Trans Tech Publications Ltd Copyright Trans Tech Publications Ltd. May 2012 |
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| Keywords | High-Rise Building Case Retrieval Design of the Structural Intelligent Scheme Fuzzy K-Means Algorithm Clustering Analysis |
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| Title | FKM-Based Clustering Case Retrieval of the High-Rise Building Structural Intelligent Scheme Design |
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