Meng, X., & Karniadakis, G. E. (2020). A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems. Journal of computational physics, 401, 109020. https://doi.org/10.1016/j.jcp.2019.109020
Citace podle Chicago (17th ed.)Meng, Xuhui, a George Em Karniadakis. "A Composite Neural Network That Learns from Multi-fidelity Data: Application to Function Approximation and Inverse PDE Problems." Journal of Computational Physics 401 (2020): 109020. https://doi.org/10.1016/j.jcp.2019.109020.
Citace podle MLA (9th ed.)Meng, Xuhui, a George Em Karniadakis. "A Composite Neural Network That Learns from Multi-fidelity Data: Application to Function Approximation and Inverse PDE Problems." Journal of Computational Physics, vol. 401, 2020, p. 109020, https://doi.org/10.1016/j.jcp.2019.109020.