Поиск по всему репозиторию:

    • Full connected neural-network for simulation of extantion in self-stressed monolitic slabs on ground 

      Zheltkovich, Andrey Evgenievich; Molosh, Viktor Viktorovich; Parchotz, Konstantin Gennadievich; Saveiko, Nikolai Gennadievich; Yuan Jinbin; Zhenhao Jiang; Zheng Haoyuan (BrSTU, 2022)
      In this article the strategy of interdisciplinary convergence of mechanics and artificial intelligence is illustrated. The article presents the results of calculating displacements in self-stressed monolithic slabs on ground obtained using a trained fully connected neural network. The empirical results ...

      2023-03-22

    • Full connected neural-network for simulation of extantion in self-stressed monolitic slabs on ground 

      Zheltkovich, А.; Molosh, V.; Parhoc, K.; Saveiko, N.; Yuan Jinbin; Zhenhao Jiang; Zheng Haoyuan (BrSTU, 2022)
      Full connected neural-network for simulation of extantion in self-stressed monolitic slabs on ground / А. Zheltkovich [еt. al.] // Перспективные направления инновационного развития строительства и подготовки инженерных кадров : сборник тезисов научных статей XXII Международного научно-методического ...

      2023-03-15