Applications of information theory, genetic algorithms, and neural models to predict oil flow

Communications in Nonlinear Science and Numerical Simulation

Volumn 14, Issue 7, 2009, Pages 2870-2885

  Ludwig, Oswaldo ^a   Nunes, Urbano ^a   Araújo, Rui ^a   Schnitman, Leizer ^b   Lepikson, Herman Augusto ^b  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b FEDERAL UNIVERSITY OF BAHIA   (Brazil)

Author keywords

Genetic algorithm; Information theory; Neural networks; Non linear modeling

Indexed keywords

ENTROPY; FORECASTING; INFORMATION THEORY; LINEAR CONTROL SYSTEMS; NEURAL NETWORKS;

ALGORITHM MODEL; CROSS ENTROPY; ENTROPY FUNCTION; INPUT AND OUTPUTS; INPUT VARIABLES; NEURAL MODELLING; NEURAL-NETWORKS; NON-LINEAR MODELLING; OIL FLOW; TIME LAG;

GENETIC ALGORITHMS;

EID: 59849122121     PISSN: 10075704     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cnsns.2008.12.011     Document Type: Review

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