Estimation of magnitude and the depth of the subcrustal source of Vrancea zone in quasi-real time scale by the connectionist simulation
AbstractThe heading portions of Vrancea three component earthquakes, recorded by Odessa seismic station, are used for development of neural network model of quake’s magnitude and hypocentral depth prediction. The validity of prediction is demonstrated for different components and timewindow length used for neural network training. The magnitude assessment by the leading time interval of seismic signal can be used for seismic hazard mitigation in the spot of recording.
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Leach R. R. J, Dovla F. U., Vergiuo E. S. Yeld estimation using bangpassfiltered seismograms: Prelimenary results Using Neural Networks with mb(Pn), Shorttime, Longtime, and Coda energy Measurments // Bull. Sеism. Soc. Amer. — 1993. — 87, № 2. — P. 488—508.
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