Now showing items 1-2 of 2

    • Deep neural networks for prediction of solar flares 

      Krynauw, D.D. (North-West University (South Africa), 2021)
      Solar flares are enormous explosions on the solar surface that originates from sunspots, which could cause damage to satellites, power grids and radio communication systems. Having early-warning systems that could accurately ...
    • Interpretability of deep neural networks for SYM-H prediction 

      Beukes, J.P. (North-West University (South Africa), 2021)
      Deep neural networks (DNNs) have shown impressive performance on a wide variety of applications, but it remains di cult to interpret these models. For regression modelling, DNNs generally do not explicitly provide any ...