DocumentCode
3024182
Title
Application and Research on Foundation Monitoring using ISODATA Based Fuzzy Cluster Analysis Algorithm
Author
Zhanwu Wang ; Chunbo Wang
Author_Institution
Liaoning Provincial Coll. of Commun., Shenyang, China
fYear
2013
fDate
29-30 June 2013
Firstpage
264
Lastpage
266
Abstract
Fuzzy clustering analysis is an effective mathematical classification method. ISODATA clustering analysis method is more scientific, which can eliminate human error. With the help of ISODATA clustering analysis, we can classify the monitoring points more accurate, scientific with the classification of the slope by the direct factor in affecting the stability of the foundation pit, which improves efficiency, and reduces workload.
Keywords
computerised monitoring; foundations; mechanical stability; pattern classification; pattern clustering; structural engineering computing; ISODATA based fuzzy cluster analysis algorithm; foundation monitoring; foundation pit stability; human error; mathematical classification method; slope classification; Educational institutions; Friction; Indexes; Monitoring; Presses; Soil; Stability analysis; ISODATA cluster analysis method; Monitoring point division; Pit stabilizing factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ICDMA.2013.63
Filename
6597982
Link To Document