Welcome
Digital library of construction informatics
and information technology in civil engineering and construction
 

Works 

Paper w78-2005-a2-4-radeva:
Kochonen Neural Model for Destructive Seismic Waves

Facilitated by the SciX project

S Radeva & D Radev

Kochonen Neural Model for Destructive Seismic Waves

Abstract:The paper is devoted on the problem of real-time earthquake prediction. An approach for realtime prognoses, based on classification algorithm of strong motion waves with neural network and fuzzy logic models is suggesting. As input information for the neural network, build with Kochonen learning rules, are given the parameters of recorded part of accelerogram, principle axis transformation and spectral characteristics of the wave. With the help of stochastic long-range dependence time series analysis is determined the beginning of destructive phase of strong motion acceleration. Developed seismic waves classification gives possibility to determine different kind prognoses models for different king of classified waves. The prognoses of destructive seismic waves are realized with learning vector quantization and self-organizing map.

Keywords:

Full text:content.pdf (240,552 bytes) (available to registered users only)

Series:w78:2005 (browse)
Cluster:
Class:
Similar papers:
Sound:N/A.

Permission to reproduce these papers has been graciously provided by the Technische Universitšt Dresden.

 

hosted by University of Ljubljana



includes

W78




© itc.scix.net 2003
Home page of this database login Powered by SciX Open Publishing Services 1.002 February 16, 2003