Tag

Recast Model

All articles tagged with #recast model

science-and-technology2 years ago

"UCSC and TU Munich Researchers Introduce RECAST: Deep Learning for Accurate Aftershock Prediction"

Researchers from UCSC and TU Munich have developed a new deep learning-based model called RECAST to forecast aftershocks. The model outperformed the older ETAS model, especially with larger datasets, and showed potential for revolutionizing earthquake forecasting. It can handle different earthquake datasets, combine information from various regions, and predict earthquakes in less-studied areas. The model also allows researchers to access different data types for earthquake prediction, such as continuous ground motion data.

science-and-technology2 years ago

"Deep Learning Revolutionizes Earthquake Forecasting for Seismologists"

Seismologists at the University of California, Santa Cruz and the Technical University of Munich have developed a new deep learning model called RECAST (Recurrent Earthquake foreCAST) to forecast aftershocks. The model outperformed the current Epidemic Type Aftershock Sequence (ETAS) model for earthquake catalogs with over 10,000 events. The RECAST model is more flexible and scalable, making it suitable for the larger and more detailed earthquake catalogs available today. The researchers hope that deep learning models like RECAST will enable better earthquake forecasting in poorly studied areas and allow for the incorporation of various types of data beyond traditional seismic measurements.