Application of adaptive neuro-fuzzy inference system in prediction of fluid density for a gamma ray densitometer in petroleum products monitoring

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 9, 2013, Pages 3276-3281

  Roshani, G H ^a,b   Feghhi, S A H ^a   Adineh Vand, A ^c   Khorsandi, M ^a  

^a SHAHID BEHESHTI UNIVERSITY   (Iran)

^b KERMANSHAH UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Gamma ray densitometer; MCNP4C; Petroleum products; Prediction

Indexed keywords

DENSITOMETERS; FORECASTING; FUZZY SYSTEMS; GAMMA RAYS; METEOROLOGICAL INSTRUMENTS; MONTE CARLO METHODS; PETROLEUM PRODUCTS; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; EXPERIMENTAL VALUES; HYBRID LEARNING ALGORITHM; LEAST-SQUARES ESTIMATION; MCNP4C; MEAN RELATIVE ERROR; POLYETHYLENE PIPES; TRAINING AND TESTING;

COMPUTER SIMULATION;

EID: 84881015559     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.07.005     Document Type: Article

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