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Structural damage detection based on variational Bayesian inference and delayed rejection adaptive Metropolis algorithm
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-06-02 , DOI: 10.1177/1475921720921256 Xiaoyou Wang 1 , Rongrong Hou 1 , Yong Xia 1 , Xiaoqing Zhou 2
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-06-02 , DOI: 10.1177/1475921720921256 Xiaoyou Wang 1 , Rongrong Hou 1 , Yong Xia 1 , Xiaoqing Zhou 2
Affiliation
Existing studies on sparse Bayesian learning for structural damage detection usually assume that the posterior probability density functions follow standard distributions which facilitate to circum...
中文翻译：
基于变分贝叶斯推理和延迟拒绝自适应Metropolis算法的结构损伤检测
现有的关于用于结构损伤检测的稀疏贝叶斯学习的研究通常假设后验概率密度函数遵循标准分布，这有助于规避...
更新日期：2020-06-02
中文翻译：
基于变分贝叶斯推理和延迟拒绝自适应Metropolis算法的结构损伤检测
现有的关于用于结构损伤检测的稀疏贝叶斯学习的研究通常假设后验概率密度函数遵循标准分布，这有助于规避...
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