Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities

Mengwu Guo, Andrea Manzoni, Maurice Amendt +2

Highly accurate numerical or physical experiments are often time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the…