A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

2019/10/11 by Xuhui Meng, George Em Karniadakis · 40 citations
Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Probabilistic and Robust Engineering Design

paper · doi:10.1016/j.jcp.2019.109020

Citations

• Predicting the output from a complex computer code when fast approximations are available

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