RAMEZANSHIRAZI, MOHSEN
RAMEZANSHIRAZI, MOHSEN
DIPARTIMENTO DI INGEGNERIA STRUTTURALE E GEOTECNICA
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A REVIEW ON THE APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS (ANNs) IN LARGE-SCALE EVALUATION OF URBAN ENVIRONMENT
2017 RAFIE MANZELAT, Reihaneh; Ramezanshirazi, Mohsen
Artificial intelligence to predict maximum surface settlements induced by mechanized tunnelling
2020 Ramezanshirazi, M.; Sebastiani, D.; Miliziano, S.
Introduce applicability of multi-layer perception to predict the behaviour of semi-interlocking masonry panel
2018 Zarrin, O.; Ramezanshirazi, M.
Study on short and "long term" effects of chemicals on fine grained soils for mechanized tunnelling conditioning
2017 Sebastiani, Diego; Ramezanshirazi, Mohsen; Anita Di Giulio, ; Miliziano, Salvatore
The feasibility of “Radial Basis Function Network (RBF)” to predict the behaviour of semi-interlocking masonry (SIM) panel
2018 Zarrin, O.; Totoev, Y. Z.; Ramezanshirazi, M.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A REVIEW ON THE APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS (ANNs) IN LARGE-SCALE EVALUATION OF URBAN ENVIRONMENT | 2017 | RAFIE MANZELAT, Reihaneh; Ramezanshirazi, Mohsen | |
Artificial intelligence to predict maximum surface settlements induced by mechanized tunnelling | 2020 | Ramezanshirazi, M.; Sebastiani, D.; Miliziano, S. | |
Introduce applicability of multi-layer perception to predict the behaviour of semi-interlocking masonry panel | 2018 | Zarrin, O.; Ramezanshirazi, M. | |
Study on short and "long term" effects of chemicals on fine grained soils for mechanized tunnelling conditioning | 2017 | Sebastiani, Diego; Ramezanshirazi, Mohsen; Anita Di Giulio, ; Miliziano, Salvatore | |
The feasibility of “Radial Basis Function Network (RBF)” to predict the behaviour of semi-interlocking masonry (SIM) panel | 2018 | Zarrin, O.; Totoev, Y. Z.; Ramezanshirazi, M. |