Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution

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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

class="label">•: Novel robust Bayesian mixture of experts proposed for outlier accommodation.
class="label">•: Number of experts is automatically found via Bayesian framework.
class="label">•: Successful damage detection to Z24 bridge in presence of outliers.

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