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Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method

Research article (Journal of Civil Structural Health Monitoring, 2022) · cited 34× · AI/ML
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Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method

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Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method is a scholarly article[1].

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  • Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-damage-identification-based-on-autoregressive-model-and-mh-pso-hybrid-mcmc-sampling-method
MLA “Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-damage-identification-based-on-autoregressive-model-and-mh-pso-hybrid-mcmc-sampling-method.
BibTeX @misc{4ortxyz_bayesian-damage-identification-based-on-autoregressive-model-and-mh-pso-hybrid-mcmc-sampling-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-damage-identification-based-on-autoregressive-model-and-mh-pso-hybrid-mcmc-sampling-method}, note = {Accessed: 2026-05-24}}
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