GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.3 GNGTS 2024 Fig. 3 Iseo lake tTEM data inversion results. From top to botom: a) EEMverter deterministc inversion; b) Deep learning Neural Network (DNN) output of the cPNN network; c) mean value of the Mixture Density Network (MDN) output of the cPNN network. Acknowledgments This study has been carried out within the Horizon Europe project SEMACRET. The FloaTEM data have been acquired in the LakEMaging project, funded by Acque Bresciane.