WHICH SIGNIFICANT DURATION OF GROUND MOTIONS TO USE? INVESTIGATIONS ON ARTIFICIAL NEURAL NETWORKS PREDICTING BUILDING SEISMIC COLLAPSE

Eccomas Proceedia ID: 10464 / Conference Proceeding ID: 20261 / DOI: 10.7712/120123.10464.20261 / Category: C - MS 12 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING IN DESIGN AND ASSESSMENT OF STRUCTURES

Authors: Konstantinos Theodoros Tsalouchidis, Christoph Adam

Start Page: 1138, End Page: 1156, Number of Pages: 19