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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
Insam, C.; Rixen, D. J.
Journal title:
Experimental Techniques
Year:
2021
Covered by:
Scopus
Reviewed:
ja
Fulltext / DOI:
doi:10.1007/s40799-021-00466-0
Publisher:
Springer Science and Business Media LLC
E-ISSN:
0732-88181747-1567
Date of publication:
27.04.2021
TUM Institution:
Lehrstuhl f. Angewandte Mechanik
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