Home ›
Entities
› academia
› Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
Research article (Reliability Engineering & System Safety, 2023) · cited 48× · AI/ML
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
Summary
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics is a scholarly article[1].
Key Facts
Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics'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). Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics. Retrieved May 24, 2026, from https://4ort.xyz/entity/physics-guided-recurrent-neural-network-trained-with-approximate-bayesian-computation-a-case-study-on-structural-respons
MLA“Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/physics-guided-recurrent-neural-network-trained-with-approximate-bayesian-computation-a-case-study-on-structural-respons.
BibTeX@misc{4ortxyz_physics-guided-recurrent-neural-network-trained-with-approximate-bayesian-computation-a-case-study-on-structural-respons_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics}}, year = {2026}, url = {https://4ort.xyz/entity/physics-guided-recurrent-neural-network-trained-with-approximate-bayesian-computation-a-case-study-on-structural-respons}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics — https://4ort.xyz/entity/physics-guided-recurrent-neural-network-trained-with-approximate-bayesian-computation-a-case-study-on-structural-respons (retrieved 2026-05-24)
