Abstract
In 1994, a new earthquake forecasting method was developed, that integrated in a neural network several forecasting tools that had been originally developed for financial analysis. This method was tested with the seismicity of the Azores, predicting the July, 1998, and the January, 2004, earthquakes, albeit within very wide time and location windows. Work is beginning to integrate physical precursors in the neural network, in order to narrow the forecasting windows
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Abbreviations
- ANN:
-
Artificial neural network
- HL:
-
Hidden (middle) layer
- IL:
-
Input layer
- MA:
-
Moving average
- MACD:
-
Moving Averages' Convergence-Divergence
- MMI:
-
Modified Mercalli intensity
- MOM:
-
Momentum
- ODI:
-
Optimised decision index
- OL:
-
Output layer
- RM:
-
Real-modulated Index
- RSI:
-
Relative strength index
- SO:
-
Stochastic oscillator
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Alves, E.I. Earthquake Forecasting Using Neural Networks: Results and Future Work. Nonlinear Dyn 44, 341–349 (2006). https://doi.org/10.1007/s11071-006-2018-1
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DOI: https://doi.org/10.1007/s11071-006-2018-1