A MULTI-FIDELITY NEURAL NETWORK SURROGATE SAMPLING METHOD FOR UNCERTAINTY QUANTIFICATION

DOI10.1615/INT.J.UNCERTAINTYQUANTIFICATION.2020031957zbMath1498.65012arXiv1909.01859MaRDI QIDQ5052399

Mohammad Motamed

Publication date: 24 November 2022

Published in: International Journal for Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.01859

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural nets and related approaches to inference from stochastic processes (62M45)

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