Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty

Stephen Brown, William L. Rodi, Marco Seracini +5

We consider the application of machine learning to the evaluation of geothermal resource potential. A supervised learning problem is defined where maps of 10 geological and geophys…