Importance sampling enhanced by adaptive two-stage Kriging model and active subspace for analyzing rare probability with high dimensional input vector.
Yingshi HuZhenzhou LuNing WeiXia JiangPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- particle filtering
- importance sampling
- particle filter
- kalman filter
- high dimensional
- probability distribution
- machine learning
- artificial neural networks
- objective function
- neural network
- low dimensional
- monte carlo
- feature space
- feature vectors
- principal component analysis
- input data
- image processing
- parameter estimation
- computer vision
- genetic algorithm