Principal Component Analysis of Collinearity of Dam Safety Monitoring Data
Wei Chao · Water Resources and Power · 2011
Aiming at the poor accuracy caused by multicollinearity of model factors,optimized measures are put forward.Principal component analysis is adopted to handle factors before modeling.Then extraction of principal components is put into model to eliminate the adverse effects.Example results show that the optimized model is more reasonable and the computational efficiency has been improved.