location: Current position: Home >> Scientific Research >> Paper Publications

A data-driven B-spline-enhanced Kriging method for uncertainty quantification based on Bayesian compressive sensing

Hits:

Date of Publication:2024-02-15

Journal:MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Volume:208

ISSN No.:0888-3270

Key Words:DIMENSIONAL DECOMPOSITION; MODEL; OPTIMIZATION; POLYNOMIAL CHAOS EXPANSIONS; SELECTION; SHRINKAGE

Pre One:A novel maximum entropy method based on the B-spline theory and the low-discrepancy sequence for complex probability distribution reconstruction

Next One:An adaptive data-driven subspace polynomial dimensional decomposition for high-dimensional uncertainty quantification based on maximum entropy method and sparse Bayesian learning