Nonlinear Processes in Geophysics www.nonlin-processes-geophys.net 1023-5809 1607-7946 17 3 2010 10.5194/npg-17-273-2010 http://www.nonlin-processes-geophys.net/17/273/2010/ http://www.nonlin-processes-geophys.net/17/273/2010/npg-17-273-2010.html http://www.nonlin-processes-geophys.net/17/273/2010/npg-17-273-2010.pdf 273 282 2010-05-20 FEM and ANN combined approach for predicting pressure source parameters at Etna volcano A. Di Stefano G. Currenti currenti@ct.ingv.it C. Del Negro L. Fortuna G. Nunnari Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Italy Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Università di Catania, Italy A hybrid approach for forward and inverse geophysical modeling, based on Artificial Neural Networks (ANN) and Finite Element Method (FEM), is proposed in order to properly identify the parameters of volcanic pressure sources from geophysical observations at ground surface. 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