Use of Artificial Neural Networks in the R/C Buildings’ Seismic Vulnerabilty Assessment: The Practical Point of View

doi 10.7712/120119.7316.19299
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Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece