Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data.
Ziyu XieMahmoud YaseenXu WuPublished in: CoRR (2023)
Keyphrases
- experimental data
- neural network
- principal component analysis
- dempster shafer
- decision theory
- belief nets
- dynamic model
- principal components analysis
- feature extraction
- pattern recognition
- mathematical models
- dimensionality reduction
- principal components
- steady state
- belief functions
- independent component analysis
- high dimensional
- conditional probabilities
- recurrent neural networks
- face images
- artificial neural networks
- principle component analysis
- face recognition
- back propagation
- parameter estimates
- maximum likelihood
- markov random field
- posterior distribution
- support vector machine
- finite element model