Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra

Chemometrics and Intelligent Laboratory Systems

Volumn 93, Issue 1, 2008, Pages 58-62

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

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

^b MOSCOW STATE UNIVERSITY   (Russian Federation)

Author keywords

Artificial neural network (ANN); Ethanol gasoline fuel; Gasoline; Multilayer perceptron (MLP); Near infrared (NIR) spectroscopy; Wavelet neural network (WNN); Wavelet transform (WT)

Indexed keywords

ALCOHOL; BENZENE; GASOLINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; NEAR INFRARED SPECTROSCOPY; NORMAL DISTRIBUTION; PERCEPTRON; PRIORITY JOURNAL; VALIDATION PROCESS;

EID: 50249107931     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2008.04.003     Document Type: Article

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