Evaluation of gravity data by using artificial neural networks case study: Seferihisar geothermal area (Western Turkey)

Journal of Applied Geophysics

Volumn 75, Issue 4, 2011, Pages 711-718

  Kaftan, Ilknur ^a   Salk, Mujgan ^a   Senol, Yavuz ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Gravity data; Inversion; MLPNN; RBFNN; Seferihisar Geothermal Area

Indexed keywords

GEOTHERMAL AREAS; GRAVITY DATA; INVERSION; MLPNN; RBFNN;

GEOTHERMAL FIELDS; GRAVITATION; PARAMETER ESTIMATION; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; SIGNAL TO NOISE RATIO;

MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GRAVITY FIELD; INVERSE PROBLEM; PERFORMANCE ASSESSMENT; SIGNAL-TO-NOISE RATIO;

IZMIR [TURKEY]; SEFERIHISAR; TURKEY;

EID: 80355125280     PISSN: 09269851     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jappgeo.2011.09.017     Document Type: Article

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