DocumentCode :
2360663
Title :
A neural network scheme for Earthquake prediction based on the seismic electric signals
Author :
Lakkos, Spiros ; Hadjiprocopis, Andreas ; Comley, Richard ; Smith, Peter
Author_Institution :
Centre for Inf. Eng., City Univ., London, UK
fYear :
1994
fDate :
6-8 Sep 1994
Firstpage :
681
Lastpage :
689
Abstract :
Earthquake prediction based on the seismic electric signals usually employs statistical linear models. In this paper, an alternative scheme for earthquake prediction and modelling of the geophysical characteristics based on artificial neural networks, is presented. Several network configurations are investigated and the results are discussed and interpreted in various ways
Keywords :
earthquakes; geophysical signal processing; geophysics computing; neural nets; seismology; earthquake prediction; geophysical characteristics modelling; neural network; seismic electric signals; Artificial neural networks; Earthquake engineering; Electrodes; Geophysical measurements; Geophysics computing; Magnetic field measurement; Monitoring; Neural networks; Predictive models; Seismic measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop
Conference_Location :
Ermioni
Print_ISBN :
0-7803-2026-3
Type :
conf
DOI :
10.1109/NNSP.1994.365997
Filename :
365997
Link To Document :
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