Title of article :
The Seismicity in the Southern Tyrrhenian Area and its Neural Forecasting
Author/Authors :
I. De Falco، نويسنده , , A. Iazzetta، نويسنده , , G. Luongo، نويسنده , , A. Mazzarella ، نويسنده , , E. Tarantino ، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2000
Pages :
13
From page :
343
To page :
355
Abstract :
The Southern Tyrrhenian basin is a region characterized by complex tectonics and large-scale geodynamic deformations, and its seismicity has been recently recognized as following fractal laws in its five dimensional set (magnitude, time and space). In particular, the time occurrences of earthquakes are found to follow a significant fractal clustering within the interval ranging from 16 minutes to 24 hours; for longer intervals, the time clustering regime was not significantly different from that of a random process. An artificial neural network is applied here to the same seismicity data set and further evidence of the nonlinear dynamic process, for which the fractal approach failed, is obtained. The monthly values of magnitude predicted by extrapolation are found to be in fair agreement with the historical data.
Keywords :
Southern Tyrrhenian basin , Artificial Neural Networks. , Nonlinear dynamics
Journal title :
Pure and Applied Geophysics
Serial Year :
2000
Journal title :
Pure and Applied Geophysics
Record number :
429203
Link To Document :
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