Browsing Publikasjoner fra CRIStin - SINTEF AS by Journals "Neural Networks"

Now showing items 1-2 of 2

    • Deep neural network enabled corrective source term approach to hybrid analysis and modeling 

      Blakseth, Sindre Stenen; Rasheed, Adil; Kvamsdal, Trond; San, Omer (Peer reviewed; Journal article, 2022)
      In this work, we introduce, justify and demonstrate the Corrective Source Term Approach (CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM is to combine physics-based modeling (PBM) and ...

    • Physics guided neural networks for modelling of non-linear dynamics 

      Robinson, Haakon; Pawar, Suraj; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2022)
      The success of the current wave of artificial intelligence can be partly attributed to deep neural networks, which have proven to be very effective in learning complex patterns from large datasets with minimal human ...