WebFMNet FMNet: Earthquake Focal Mechanism Estimation by using a Fully Convolutional Neural Network Please download data from the supplementary files of this publication: "Kuang, W., Yuan, C., & Zhang, J. (2024). Real-time determination of earthquake focal mechanism via deep learning. Nature communications, 12 (1), 1-8." Web1 1 A functional tool to explore the reliability of micro-earthquake focal 2 mechanism solution for seismotectonic purposes 3 4 G.M. Adinolfi 1, 3, *, R. De Matteis 1, R. de Nardis 2, 3 and A. Zollo 4 5 6 1 Dipartimento di Scienze e Tecnologie, Università del Sannio ViaDe Sanctis, 82100 Benevento, Italy 7 2 Dipartimento di Scienze Psicologiche, della Salute e …
Researchers Use AI to Estimate Focal Mechanism Parameters of Earthquake …
WebJun 22, 2024 · We train the FMNet model with the synthetic or historical dataset and then apply it to calculate the locations and focal mechanisms of subsequent earthquakes. … WebMar 3, 2024 · Here we propose a novel deep learning method namely Focal Mechanism Network (FMNet) to address this problem. The FMNet trained with 787,320 synthetic … green acre solutions limited
Real-time determination of earthquake focal mechanism …
WebFMNet: Earthquake Focal Mechanism Estimation by using a Fully Convolutional Neural Network. Please download data from the supplementary files of this publication: "Kuang, … WebMar 18, 2024 · The neural network, named as Focal Mechanism Network (FMNet), was first trained to estimate the source focal mechanism rapidly using full waveforms.Then, the neural network model was trained by comprehensive dataset, which modified the report system.After the earthquake, the real-dataset are introduced into the training system, … WebMar 4, 2024 · Here we propose a novel deep learning method namely Focal Mechanism Network (FMNet) to address this problem. The FMNet trained with 787,320 synthetic samples successfully estimates the focal mechanisms of four 2024 Ridgecrest earthquakes with magnitude larger than Mw 5.4. flowerlink torrance