A new FARMA model for on-line linguistic description and interpretation of seismic waveform in volcanic areas

Abstract

A new prediction model is proposed to identify the dynamics corresponding to changing parameters in geophysical structures. The methodology has revealed effective features in the way seismic waveforms are analysed, during continuous monitoring, interpreted and reconstructed by the new neuro-fuzzy-based prediction model. The methodology is based on the concepts of fuzzy logic and ARMA models and hence it has been called FARMA.