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Nonlinear Dynamics

, Volume 44, Issue 1–4, pp 341–349 | Cite as

Earthquake Forecasting Using Neural Networks: Results and Future Work

  • E. Ivo Alves
Article

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

Key Words

Azores Earthquake prediction financial technical analysis forecasting neural networks Portugal seismicity 

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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Copyright information

© Springer Science + Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Centro de Geofísica da Universidade de CoimbraCoimbraPortugal

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