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, MOHSEN
  • 11573/1123088 - 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, SALVATORE
  • 11573/1192295 - 2018 - Introduce applicability of multi-layer perception to predict the behaviour of semi-interlocking masonry panel (01a Articolo in rivista)
    RAMEZANSHIRAZI, MOHSEN
  • 11573/1192310 - 2018 - The feasibility of “Radial Basis Function Network (RBF)” to predict the behaviour of semi-interlocking masonry (SIM) panel (01a Articolo in rivista)
    RAMEZANSHIRAZI, MOHSEN
  • 11573/1304494 - 2020 - Artificial intelligence to predict maximum surface settlements induced by mechanized tunnelling (02a Capitolo o Articolo)
    RAMEZANSHIRAZI, MOHSEN; SEBASTIANI, DIEGO; MILIZIANO, SALVATORE

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