📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Reinforcement learning and approximate Bayesian computation (RL-ABC) for model selection and parameter calibration of time-varying systems (2023)

First Author: Ritto T
Attributed to:  Digital twins for improved dynamic design funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.ymssp.2023.110458

Publication URI: http://dx.doi.org/10.1016/j.ymssp.2023.110458

Type: Journal Article/Review

Parent Publication: Mechanical Systems and Signal Processing

ISSN: 10961216 08883270