Machine learning-based seismic response and performance assessment of reinforced concrete buildings - Kazemi, F.; Asgarkhani, N.; Jankowski, R. (Archives of Civil and Mechanical Engineering, 2023)
Keywords: Accuracy; Algorithms; Artificial neural networks; Back propagation; Buildings; Civil Engineering; Concrete; Cost analysis; Data points; Datasets; Decision trees; Engineering; Graphical user interface; Limit states; Machine learning; Mechanical Engineering; Methods; Neural networks; Original Article; Performance assessment; Prediction models; Python; Reinforced concrete; Seismic engineering; Seismic response; Structural Materials; Support vector machines; Uniqueness; Seismic limit-state capacity; Machine learning method; Seismic probabilistic assessment; Maximum interstory drift ratio; Predicting seismic performance