Home ›
Entities
› academia
› A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory
A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory
Research article (Journal of Wind Engineering and Industrial Aerodynamics, 2020) · cited 66× · AI/ML
A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory
Summary
A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory is a scholarly article[1].
Key Facts
A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory'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 comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-wind-induced-dynamic-response-models-of-long-span-bridges-using-artificial-neural-networks-suppor
MLA“A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-wind-induced-dynamic-response-models-of-long-span-bridges-using-artificial-neural-networks-suppor.
BibTeX@misc{4ortxyz_a-comparative-study-of-wind-induced-dynamic-response-models-of-long-span-bridges-using-artificial-neural-networks-suppor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-wind-induced-dynamic-response-models-of-long-span-bridges-using-artificial-neural-networks-suppor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory — https://4ort.xyz/entity/a-comparative-study-of-wind-induced-dynamic-response-models-of-long-span-bridges-using-artificial-neural-networks-suppor (retrieved 2026-05-24)