Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems

Baldacchino, T., Cross, E.J., Worden, K. orcid.org/0000-0002-1035-238X et al. (1 more author) (2016) Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems. Mechanical Systems and Signal Processing, 66-67. pp. 178-200. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2015 Elsevier Ltd.
Keywords: Mixture of experts; Variational Bayesian training; Sensitivity analysis; Nonlinear bifurcating systems; Model selection
Dates:
  • Accepted: 9 May 2015
  • Published (online): 27 May 2015
  • Published: January 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
LEVERHULME TRUST (THE)RPG-2012-816
Depositing User: Symplectic Sheffield
Date Deposited: 29 Oct 2018 14:47
Last Modified: 29 Oct 2018 14:47
Published Version: https://doi.org/10.1016/j.ymssp.2015.05.009
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2015.05.009

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Share / Export

Statistics