Day: November 11, 2020
A deep learning metamodel for predicting natural convection in hollow enclosures
By transferring the learning from a metamodel that was already trained to predict the heat transfer rate for natural convection flows in enclosures, we construct a deep neural network to account for enclosures with a centered hole. We demonstrate that a transfer learning approach reduces the computational and training costs.