Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution
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- 作者：Tara Baldacchino ; t.baldacchino@sheffield.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Keith Worden k.worden@sheffield.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Jennifer Rowson j.rowson@sheffield.ac.uk" class="auth_mail" title="E-mail the corresponding author
- 关键词：Outliers ; Robust estimation ; Student-t distribution ; Variational Bayes ; Mixture of experts ; Bifurcating mechanical structures
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：977-992
- 全文大小：1450 K
文摘
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Novel robust Bayesian mixture of experts proposed for outlier accommodation.
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Number of experts is automatically found via Bayesian framework.
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Successful damage detection to Z24 bridge in presence of outliers.