Home ›
Entities
› academia
› A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
Research article (Structural and Multidisciplinary Optimization, 2019) · cited 165× · AI/ML
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models
Summary
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models is a scholarly article[1].
Key Facts
A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models'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 radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-radial-basis-function-based-multi-fidelity-surrogate-model-exploring-correlation-between-high-fidelity-and-low-fidelit
