Machine learning and earthquake forecasting—next steps
Gregory C. Beroza, Margarita Segou, S. Mostafa Mousavi
Abstract
A new generation of earthquake catalogs developed through supervised machine-learning illuminates earthquake activity with unprecedented detail. Application of unsupervised machine learning to analyze the more complete expression of seismicity in these catalogs may be the fastest route to improving earthquake forecasting.
Topics & Concepts
Computer scienceEarthquake predictionUnsupervised learningInduced seismicityMachine learningSupervised learningArtificial intelligenceSeismologyGeologyArtificial neural networkSeismology and Earthquake StudiesEarthquake Detection and Analysisearthquake and tectonic studies