MOHSEN RAMEZANSHIRAZI Dottore di ricerca ciclo: XXXI Titolo della tesi: Application of artificial neural networks to predict excavation performances of mechanized tunnelling machines. Produzione scientifica 11573/1078077 - 2017 - A REVIEW ON THE APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS (ANNs) IN LARGE-SCALE EVALUATION OF URBAN ENVIRONMENT (04d Abstract in atti di convegno)RAFIE MANZELAT, REIHANEH; RAMEZANSHIRAZI, MOHSEN11573/1123088 - 2017 - Study on short and "long term" effects of chemicals on fine grained soils for mechanized tunnelling conditioning (04b Atto di convegno in volume)SEBASTIANI, DIEGO; RAMEZANSHIRAZI, MOHSEN; MILIZIANO, SALVATORE11573/1192295 - 2018 - Introduce applicability of multi-layer perception to predict the behaviour of semi-interlocking masonry panel (01a Articolo in rivista)RAMEZANSHIRAZI, MOHSEN11573/1192310 - 2018 - The feasibility of “Radial Basis Function Network (RBF)” to predict the behaviour of semi-interlocking masonry (SIM) panel (01a Articolo in rivista)RAMEZANSHIRAZI, MOHSEN11573/1304494 - 2020 - Artificial intelligence to predict maximum surface settlements induced by mechanized tunnelling (02a Capitolo o Articolo)RAMEZANSHIRAZI, MOHSEN; SEBASTIANI, DIEGO; MILIZIANO, SALVATORE