Neural network based attenuation of strong motion peaks in Europe

Journal of Earthquake Engineering

Volumn 12, Issue 5, 2008, Pages 663-680

  Ahmad, Irshad ^a   El Naggar, M Hesham ^b   Khan, Akhtar Naeem ^a  

^a UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

European Earthquakes; Neural Network; Peak Ground Acceleration; Peak Ground Displacement; Peak Ground Velocity; Predictive Relationship

Indexed keywords

BACKPROPAGATION; EARTHQUAKES; FOOD PROCESSING; IMAGE CLASSIFICATION; SEISMIC WAVES; SEISMOLOGY; SOILS;

ARTIFICIAL NEURAL NETWORK (ANNS); ATTENUATION RELATIONSHIPS; DATA POINTS; EARTHQUAKE DATA; EUROPEAN; GROUND ACCELERATIONS; GROUND MOTION PARAMETERS; GROUND-MOTION ATTENUATION (NGA); INPUT PARAMETERS; NEURAL NETWORK (NN) MODELS; PEAK GROUND ACCELERATION (PGA); PEAK GROUND DISPLACEMENT; PEAK GROUND VELOCITY (PGV); PHYSICAL ASPECTS; REGRESSION TECHNIQUES; ROCK FORMATIONS; S HALLOW EARTHQUAKES; SEISMIC WAVE ATTENUATION; SOFT SOILS; SOIL TYPES; STRONG GROUND MOTION; STRONG MOTION; SURFACE MAGNITUDE;

NEURAL NETWORKS;

EID: 47549116388     PISSN: 13632469     EISSN: None     Source Type: Journal    
DOI: 10.1080/13632460701758570     Document Type: Article

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