Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions.
Qiujing PanDaniel DiasPublished in: Reliab. Eng. Syst. Saf. (2017)
Keyphrases
- high dimensions
- reliability analysis
- high dimensional
- high dimensional data
- high dimensional spaces
- low dimensional
- particle swarm optimization
- multi dimensional
- dimensionality reduction
- sparse representation
- poor quality
- similarity search
- neural network
- decision support system
- data sets
- feature space
- logistic regression
- power plant
- artificial immune system
- support vector
- machine learning