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...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
AIP Publishing
2016
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/9062/1/Identifying%20Influential%20Variables%20in%20Complex%20System-%20Network%20Topology%20Versus%20Principal%20Component%20Analysis.pdf http://umpir.ump.edu.my/id/eprint/9062/ http://dx.doi.org/10.1063/1.4954628 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|