Machine Learning Predicts Laboratory Earthquakes

19 Feb 2017Bertrand Rouet-LeducClaudia HulbertNicholas LubbersKipton BarrosColin HumphreysPaul A. Johnson

Forecasting fault failure is a fundamental but elusive goal in earthquake science. Here we show that by listening to the acoustic signal emitted by a laboratory fault, machine learning can predict the time remaining before it fails with great accuracy... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.