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

Research article (Journal of Computational Physics, 2019) · cited 670× · AI/ML
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A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

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A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-composite-neural-network-that-learns-from-multi-fidelity-data-application-to-function-approximation-and-inverse-pde-pr
MLA “A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-composite-neural-network-that-learns-from-multi-fidelity-data-application-to-function-approximation-and-inverse-pde-pr.
BibTeX @misc{4ortxyz_a-composite-neural-network-that-learns-from-multi-fidelity-data-application-to-function-approximation-and-inverse-pde-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems}}, year = {2026}, url = {https://4ort.xyz/entity/a-composite-neural-network-that-learns-from-multi-fidelity-data-application-to-function-approximation-and-inverse-pde-pr}, note = {Accessed: 2026-05-24}}
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