Towards fully data driven ground-motion prediction models for Europe

Bulletin of Earthquake Engineering

Volumn 12, Issue 1, 2014, Pages 495-516

  Derras, Boumédiène ^a   Bard, Pierre Yves ^b   Cotton, Fabrice ^b  

^a UNIVERSITY OF TLEMCEN   (Algeria)

^b UNIVERSITÉ GRENOBLE ALPES   (France)

Author keywords

Ground motion; Neural networks; Pseudo Spectral Acceleration; RESORCE;

Indexed keywords

NEURAL NETWORKS; PREDICTIVE ANALYTICS; RANDOM PROCESSES; STATISTICS;

ARTIFICIAL NEURAL NETWORK METHODS; GROUND MOTION PARAMETERS; GROUND MOTIONS; GROUND-MOTION PREDICTION MODELS; PEAK GROUND ACCELERATION; RESORCE; SPECTRAL ACCELERATION; TOTAL STANDARD DEVIATION;

MOTION ESTIMATION;

ARTIFICIAL NEURAL NETWORK; DATABASE; EARTHQUAKE MAGNITUDE; FAULT; FOCAL MECHANISM; GROUND MOTION; PEAK ACCELERATION; PREDICTION; SOFT SOIL;

EUROPE;

EID: 85028232097     PISSN: 1570761X     EISSN: 15731456     Source Type: Journal    
DOI: 10.1007/s10518-013-9481-0     Document Type: Article

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