Mitigate Their Harmful Effects
2021年3月17日 日常The team is looking forward to seeing what machine learning can do in the future to unravel the mysteries behind earthquakes, in an effort to mitigate their harmful effects.Earthquakes typically occur in sequences: an initial "mainshock" (the event that usually gets the headlines) is often followed by a set of "aftershocks. When neural networks were applied to the data set, it was able to look under the hood at the specific combinations of factors that it found important and useful for that forecast, rather than just taking the forecasted results at face value.
The team has partnered with machine learning experts at Google to see if they could apply deep learning to explain where aftershocks might occur, and they are publishing a paper on the findings. Machine learning-based forecasts may one day help deploy emergency services and inform evacuation plans for areas at risk of an aftershock. Although the timing and size of aftershocks has been understood and explained by established empirical laws, forecasting the locations of these events has proven more challenging.Forecasted distribution of aftershock location probabilities for the Landers earthquake.
(Representational image/ Pixabay image)From hurricanes and floods to volcanoes and earthquakes, the Earth is continuously evolving in fits and spurts of dramatic activity. Earthquakes and subsequent tsunamis alone have caused massive destruction in the last decade, there were earthquakes in New Caledonia, Southern California, Iran, and Fiji. But first, a bit more about how it came to be: it was started with a database of information on more than 118 major earthquakes from around the world. https://www.bangemachine.com/product/pet-blow-molding-machine/semi-automatic-blow-molding-machine/ A neural net was applied to analyse the relationships between static stress changes caused by the mainshocks and aftershock locations.(Source)end-ofTags: artificial intelligence, google, earthquakes. Dark red colours indicate regions predicted to experience aftershocks.
The team has partnered with machine learning experts at Google to see if they could apply deep learning to explain where aftershocks might occur, and they are publishing a paper on the findings. Machine learning-based forecasts may one day help deploy emergency services and inform evacuation plans for areas at risk of an aftershock. Although the timing and size of aftershocks has been understood and explained by established empirical laws, forecasting the locations of these events has proven more challenging.Forecasted distribution of aftershock location probabilities for the Landers earthquake.
(Representational image/ Pixabay image)From hurricanes and floods to volcanoes and earthquakes, the Earth is continuously evolving in fits and spurts of dramatic activity. Earthquakes and subsequent tsunamis alone have caused massive destruction in the last decade, there were earthquakes in New Caledonia, Southern California, Iran, and Fiji. But first, a bit more about how it came to be: it was started with a database of information on more than 118 major earthquakes from around the world. https://www.bangemachine.com/product/pet-blow-molding-machine/semi-automatic-blow-molding-machine/ A neural net was applied to analyse the relationships between static stress changes caused by the mainshocks and aftershock locations.(Source)end-ofTags: artificial intelligence, google, earthquakes. Dark red colours indicate regions predicted to experience aftershocks.
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