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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