Surrogate modelling and uncertainty quantification based on multi-fidelity deep neural network

Zhihui Li, Francesco Montomoli

To reduce training costs, several Deep neural networks (DNNs) that can learn from a small set of HF data and a sufficient number of low-fidelity (LF) data have been proposed. In th…