Application of a radial basis function artificial neural network to seismic data inversion

Computers and Geosciences

Volumn 35, Issue 12, 2009, Pages 2338-2344

  Baddari, Kamel ^a   Aïfa, Tahar ^b   Djarfour, Noureddine ^a   Ferahtia, Jalal ^a  

^a UNIVERSITY OF BOUMERDES   (Algeria)

^b UNIVERSITÉ DE RENNES 1   (France)

Author keywords

ANN; Back propagation; Inversion; Radial basis function; Seismic; Training

Indexed keywords

ACOUSTIC IMPEDANCE; BACKPROPAGATION ALGORITHMS; NETWORK ARCHITECTURE; PERSONNEL TRAINING; RADIAL BASIS FUNCTION NETWORKS; SEISMIC RESPONSE; SEISMIC WAVES;

CROSS-VALIDATION TESTS; INVERSION; PREDICTION ACCURACY; RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RATE OF CONVERGENCE; SEISMIC; SYNTHETIC AND REAL DATA;

FUNCTIONS;

ACCURACY ASSESSMENT; ACOUSTICS; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA INVERSION; ERROR ANALYSIS; OPTIMIZATION; PARAMETERIZATION; PERFORMANCE ASSESSMENT; PREDICTION; SEISMIC DATA;

EID: 70350189939     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.03.006     Document Type: Article

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