The ICA of Gravity Earth Tide Based on Genetic Algorithm and Extraction of Seismic Precursor Information

Xiao-Liang TANG, Hai-Yan QUAN

Abstract


In the analysis of the Gravity Earth Tide signal, using a threeï¼dimensional orthogonal decomposition model to decompose the harmonic information of the tidal signal into 3 orthogonal components. And this paper uses the traditional ICA and real coded genetic algorithm (GA) combined method, which has been proved is feasible and effective by the experiments .By the way we used the combination of the measured signal and the theoretical signal to extract the harmonic information of the tidal signal. This paper found some singular waveform in the long period waves before the indefinite earthquake point, which reflects the change of the earthquake energy before the earthquake point.

Keywords


The Gravity Earth Tide, ICA, GA, Singular Waveform, Earthquake Precursors Information


DOI
10.12783/dtcse/aice-ncs2016/5650

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