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7/6/22 16:30 - 18:30 Computational Intelligence Techniques and Applications in Civil Engineering Minisymposium organized by Vagelis Plevris, German Solorzano and Mohamed El Amine Ben Seghier |
Room: Buskerud (1F) MS78A Chair: German Solorzano |
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ANN-based surrogate model for predicting the lateral load capacity of RC shear walls
German Solorzano and Vagelis Plevris A machine learning based approach to predict the stress intensity factors in 2D linear elastic fracture mechanics Peijun Zhang Machine-learning driven prediction model for strength reduction of fire-damaged RC column based on numerical analysis HyunKyoung Kim Dynamic characterization of offshore wind turbines supported on a jacket using Artificial Neuran Networks Román Quevedo-Reina, Guillermo M. Álamo, Luis A. Padrón and Juan J. Aznárez Using artificial intelligence techniques for the accurate estimation of the ultimate pure bending of steel circular tubes Mohamed El Amine Ben Seghier, Vagelis Plevris and German Solorzano Investigation of performance metrics in regression analysis and machine learning-based prediction models Vagelis Plevris, German Solorzano, Nikolaos Bakas and Mohamed El Amine Ben Seghier Mode shapes-based multicriteria optimization of thin-walled composite cylinders using Deep Learning Bartosz Miller and Leonard Ziemiański Topology Optimization Through Machine Learning MD Imrul Reza Shishir and Alireza Tabarraei |
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