Polynomials, radial basis functions and multilayer perceptron neural network methods in local geoid determination with GPS/levelling

Measurement: Journal of the International Measurement Confederation

Volumn 57, Issue , 2014, Pages 148-153

  Cakir, Leyla ^a   Yilmaz, Nazan ^a  

^a KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Geoid height; GPS levelling; Interpolation; Polynomials

Indexed keywords

GEODETIC SATELLITES; GLOBAL POSITIONING SYSTEM; INTERPOLATION; LOCAL AREA NETWORKS; NEURAL NETWORKS; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS; FUNCTIONS; MULTILAYERS; TRACKING (POSITION);

ARTIFICIAL NEURAL NETWORK METHODS; CLASSICAL TECHNIQUES; GEOID HEIGHTS; MULTILAYER PERCEPTRON NEURAL NETWORKS; ORTHOMETRIC HEIGHTS; POSITIONING TECHNIQUES; RADIAL BASIS FUNCTIONS; SURFACE MODELLING;

TRACKING (POSITION); GLOBAL POSITIONING SYSTEM;

EID: 84906886736     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2014.08.003     Document Type: Article

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