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Volumn 32, Issue 4, 2012, Pages 1012-1015
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Identification of spill oil species based on low concentration synchronous fluorescence spectra and RBF neural network
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Author keywords
Principal component analysis (PCA); Radial basis function (RBF) artificial neural network; Spill oil identification; Synchronous fluorescence spectra
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Indexed keywords
FEATURE EXTRACTION METHODS;
LOW CONCENTRATIONS;
NONLINEAR CONCENTRATION;
OIL IDENTIFICATION;
OIL SAMPLES;
OIL SOURCES;
PRINCIPAL COMPONENT ANALYSIS (PCA);
RADIAL BASIS FUNCTIONS;
RBF NEURAL NETWORK;
RECOGNITION RATES;
SYNCHRONOUS FLUORESCENCE;
SYNCHRONOUS SPECTRA;
TRAINING DATA;
CRUDE OIL;
FEATURE EXTRACTION;
FLUORESCENCE;
NEURAL NETWORKS;
OIL WELLS;
PRINCIPAL COMPONENT ANALYSIS;
RADIAL BASIS FUNCTION NETWORKS;
POLYCYCLIC AROMATIC HYDROCARBONS;
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EID: 84859512550
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: 10.3964/j.issn.1000-0593(2012)04-1012-04 Document Type: Article |
Times cited : (7)
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References (13)
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