Neural network (ANN) approach to biodiesel analysis: Analysis of biodiesel density, kinematic viscosity, methanol and water contents using near infrared (NIR) spectroscopy

Fuel

Volumn 90, Issue 5, 2011, Pages 2007-2015

  Balabin, Roman M ^a   Lomakina, Ekaterina I ^a,b   Safieva, Ravilya Z ^c  

^a ETH ZURICH   (Switzerland)

^b MOSCOW STATE UNIVERSITY   (Russian Federation)

^c GUBKIN RUSSIAN STATE UNIVERSITY OF OIL AND GAS   (Russian Federation)

Author keywords

Biofuel (biodiesel, bioethanol, ethanol gasoline); Multilayer perceptron (ANN MLP); Near infrared spectroscopy (NIRS); Partial least squares regression (PLS OPLS); Vegetable oil (petroleum crude oil, biomass, algae)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIODIESEL PROPERTIES; CALIBRATION METHOD; KINEMATIC VISCOSITY; METHANOL CONTENT; MODEL PREDICTION; MULTILAYER PERCEPTRON (ANN-MLP); MULTIPLE LINEAR REGRESSIONS; NEAR INFRARED; NEAR INFRARED SPECTRA; NEAR-INFRARED SPECTROSCOPY (NIRS); NON-LINEAR; NONLINEAR CALIBRATION; ORTHOGONAL SIGNAL CORRECTION; PARTIAL LEAST SQUARES REGRESSION; PARTIAL LEAST SQUARES REGRESSION (PLS/OPLS); PRE-PROCESSING METHOD; PRINCIPAL COMPONENT REGRESSION; REAL TIME; ROOT MEAN SQUARED ERRORS; SAVITZKY-GOLAY;

ALGAE; ALTERNATIVE FUELS; BIOETHANOL; CALIBRATION; CRUDE OIL; ETHANOL; ETHANOL FUELS; FINANCIAL DATA PROCESSING; FORECASTING; GASOLINE; INFRARED DEVICES; INFRARED SPECTROSCOPY; KINEMATICS; LEAST SQUARES APPROXIMATIONS; LINEAR REGRESSION; LUBRICATING OILS; METHANOL; MULTILAYERS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PETROLEUM ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; SIGNAL PROCESSING; SPECTRUM ANALYSIS; SPLINES; TEXTILES; VEGETABLE OILS; VISCOSITY OF LIQUIDS; WATER CONTENT;

BIODIESEL;

EID: 79952535556     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2010.11.038     Document Type: Article

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