Earthquake Forecasting

The probabilistic forecasting (months or years in advance) of future mainshock characteristics, such as the event magnitude in a time or spacetime window.

Used ML Approaches:

  • Decision Tree

  • Logistic Regression

  • K‐Means

  • K-Nearest Neighbors

  • Random Forest

  • Support Vector Machine

  • Artificial Neural Networks

  • Self Organized Mapping

Used Neural Networks:

  • FC

  • RNN

  • CNN

  • LSTM

  • TCN

  • Autoencoder

  • Attention

Used Learning Procedures:

  • Supervised Learning

  • Unsupervised Learning

  • Semi-Supervised Learning

  • Reinforcement Learning

  • Federated Learning

References:

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