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
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;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICDMA.2013.63
