{"id":947,"date":"2022-11-21T19:01:49","date_gmt":"2022-11-21T18:01:49","guid":{"rendered":"http:\/\/www.labdma.unina.it\/?p=947"},"modified":"2023-02-26T19:03:19","modified_gmt":"2023-02-26T18:03:19","slug":"machine-learning-in-seismicity-a-new-published-paper","status":"publish","type":"post","link":"https:\/\/www.labdma.unina.it\/index.php\/2022\/11\/21\/machine-learning-in-seismicity-a-new-published-paper\/","title":{"rendered":"Machine Learning in Seismicity: A new published paper"},"content":{"rendered":"\n

We are pleased to announce that our research paper titled “A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: The case of The Geysers geothermal field” has been published on Frontiers in Earth Science.<\/p>\n\n\n\n

We are proud of the work done by our team and hope that this research will contribute to the field of ground-motion modeling and seismic hazard assessment.
<\/p>\n\n\n\n

If you’re interested in learning more about our research, you can read the full paper by clicking the following link: <\/p>\n\n\n\n

https:\/\/www.frontiersin.org\/articles\/10.3389\/feart.2022.917608\/full<\/a>
<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

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