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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 
Journal title:
Experimental Techniques 
Year:
2021 
Covered by:
Scopus 
Reviewed:
ja 
Publisher:
Springer Science and Business Media LLC 
E-ISSN:
0732-88181747-1567 
Date of publication:
27.04.2021 
TUM Institution:
Lehrstuhl f. Angewandte Mechanik