UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Soft-computing modelling of seismicity in the southern Hellenic arc

Konstantaras, A; Vallianatos, F; Varley, MR; Makris, JP; (2008) Soft-computing modelling of seismicity in the southern Hellenic arc. IEEE GEOSCI REMOTE S , 5 (3) 323 - 327. 10.1109/LGRS.2008.916069.

Full text not available from this repository.

Abstract

This letter investigates the possible coalition of time intervals and patterns in seismic activity during the preparation process of consecutive sizeable seismic events (i.e., MS >= 5.9). During periods of low-level seismic activity, stress processes in the crust accumulate energy at the seismogenic area, while larger seismic events act as a decongesting mechanism that releases considerable amounts of that energy. Monthly mean seismicity rates have been introduced as a tool to monitor this energy management system and to divert this information into an adaptive neuro-fuzzy inference system. The purpose of the neuro-fuzzy model is to identify and to simulate the possible relationship between mean seismicity rates and time intervals among consecutive sizeable earthquakes. Successful training of the neuro-fuzzy model results in a real-time online processing mechanism that is capable of estimating the time interval between the latest and the next forthcoming sizeable seismic event.

Type:Article
Title:Soft-computing modelling of seismicity in the southern Hellenic arc
DOI:10.1109/LGRS.2008.916069
Keywords:earthquake occurrence, long-term earthquake precursors, neural-fuzzy architecture, pattern recognition, prediction, ARTIFICIAL-INTELLIGENCE TECHNIQUES, LARGE EARTHQUAKES, NEURAL-NETWORK, RECORDINGS, PREDICTION, PATTERNS, FAULT, QUIESCENCE, CATALOGS, REGION
UCL classification:UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Institute for Risk and Disaster Reduction

Archive Staff Only: edit this record