Home ›
Entities
› academia
› A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
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
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
Summary
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems is a scholarly article[1].
Key Facts
A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems — https://4ort.xyz/entity/a-composite-neural-network-that-learns-from-multi-fidelity-data-application-to-function-approximation-and-inverse-pde-pr (retrieved 2026-05-24)