Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

no code implementations • 10 Jul 2023 • Ziyu Xie, Mahmoud Yaseen, Xu Wu

This work focuses on developing an inverse UQ process for time-dependent responses, using dimensionality reduction by functional principal component analysis (PCA) and deep neural network (DNN)-based surrogate models.

Dimensionality Reduction Uncertainty Quantification