Identifying Influential Variables in Complex System: Network Topology Versus Principal Component Analysis
High dimensional covariance structure can be considered as a complex system that relates each variable to the others in terms of variability. In complex system, identifying influential variables is a very important part of reliability analysis, which has been a key issue in analysing the structural...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9062/ http://umpir.ump.edu.my/id/eprint/9062/ http://umpir.ump.edu.my/id/eprint/9062/ http://umpir.ump.edu.my/id/eprint/9062/1/Identifying%20Influential%20Variables%20in%20Complex%20System-%20Network%20Topology%20Versus%20Principal%20Component%20Analysis.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/9062/http://umpir.ump.edu.my/id/eprint/9062/
http://umpir.ump.edu.my/id/eprint/9062/
http://umpir.ump.edu.my/id/eprint/9062/1/Identifying%20Influential%20Variables%20in%20Complex%20System-%20Network%20Topology%20Versus%20Principal%20Component%20Analysis.pdf