caa a22 4500 475813340 CHVBK 20180406123803.0 cr unu---uuuuu 170329e20000301xx s 000 0 eng 10.1007/s000240050003 doi (NATIONALLICENCE)springer-10.1007/s000240050003 The Seismicity in the Southern Tyrrhenian Area and its Neural Forecasting [Elektronische Daten] [I. De Falco, A. Iazzetta, G. Luongo, A. Mazzarella, E. Tarantino] —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. Birkhäuser Verlag Basel,, 2000 Key Words: Southern Tyrrhenian basin, nonlinear dynamics, artificial neural networks nationallicence De Falco I. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut Iazzetta A. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut Luongo G. Department of Geophysics and Volcanology, University of Naples "Federico II,” Largo San Marcellino, 10, 80138 Naples, Italy., IT aut Mazzarella A. Department of Geophysics and Volcanology, University of Naples "Federico II,” Largo San Marcellino, 10, 80138 Naples, Italy., IT aut Tarantino E. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut https://doi.org/10.1007/s000240050003 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s000240050003 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- De Falco I. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut NATIONALLICENCE 700 1- Iazzetta A. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut NATIONALLICENCE 700 1- Luongo G. Department of Geophysics and Volcanology, University of Naples "Federico II,” Largo San Marcellino, 10, 80138 Naples, Italy., IT aut NATIONALLICENCE 700 1- Mazzarella A. Department of Geophysics and Volcanology, University of Naples "Federico II,” Largo San Marcellino, 10, 80138 Naples, Italy., IT aut NATIONALLICENCE 700 1- Tarantino E. Institute for Research on Parallel Information Systems (IRSIP)—National Research Council of Italy (CNR), Via P. Castellino 111, 80131 Naples, Italy., IT aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer