Fidelity Assessment of Real-Time Hybrid Substructure Testing: a Review and the Application of Artificial Neural Networks

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Document type:: Zeitschriftenaufsatz
Author(s):: Insam, C. ; Rixen, D. J.
Title:: Fidelity Assessment of Real-Time Hybrid Substructure Testing: a Review and the Application of Artificial Neural Networks
Keywords:: Research Paper ; Real-time hybrid testing/simulation ; Artificial neural networks ; Fidelity ; Accuracy measures
Journal title:: Experimental Techniques
Year:: 2021
Journal volume:: 46
Journal issue:: 1
Pages contribution:: 137-152
Fulltext / DOI:: doi:10.1007/s40799-021-00466-0
Publisher:: Springer International Publishing
E-ISSN:: 0732-8818 ; 1747-1567
Notes:: 0
Date of publication:: 27.04.2021
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