Tag: SeisEML
All the talks with the tag "SeisEML".
Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions
Dibyanshu MohapatraPublished: at 02:00 PMThis paper presents a cross-region prediction model named SeisEML for predicting peak ground acceleration (PGA) during earthquakes. The SeisEML model combines hybridized models, kernel-based algorithms, tree regression algorithms, and regression algorithms to achieve improved accuracy compared to conventional attenuation relations. The model has been tested on datasets from Japan and Iran, demonstrating its potential for regional and global earthquake predictions.