Decision Tree, Bagging and Random Forest methods detect TEC seismo-ionospheric anomalies around the time of the Chile, (M-w=8.8) earthquake of 27 February 2010

作者：Akhoondzadeh Mehdi^*

来源：Advances in Space Research, 2016, 57(12): 2464-2469.

DOI：10.1016/j.asr.2016.03.035

• TEC
• Anomaly detection
• Decision Tree
• Bagging
• Random Forest

In this paper for the first time ensemble methods including Decision Tree, Bagging and Random Forest have been proposed in the field of earthquake precursors to detect GPS-TEC (Total Electron Content) seismo-ionospheric anomalies around the time and location of Chile earthquake of 27 February 2010. All of the implemented ensemble methods detected a striking anomaly in time series of TEC data, 1 day after the earthquake at 14:00 UTC. The results indicate that the proposed methods due to their performance, speed and simplicity are quite promising and deserve serious attention as a new predictor tools for seismo-ionospheric anomalies detection.

• 出版日期2016-6-15