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