Measurement of whole soybean fatty acids by near infrared spectroscopy

JAOCS, Journal of the American Oil Chemists' Society

Volumn 85, Issue 12, 2008, Pages 1105-1113

  Igne, Benoit ^a   Rippke, Glen R ^a   Hurburgh Jr , Charles R ^a  

^a Iowa State University of Science and Technology   (United States)

Author keywords

Artificial neural networks; Fatty acids; Least squares support vector machines; Near infrared spectroscopy; Partial least squares; Soybeans

Indexed keywords

ACIDS; BACKPROPAGATION; CALIBRATION; CURVE FITTING; FATTY ACIDS; FORECASTING; IMAGE RETRIEVAL; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; RESEARCH AIRCRAFT; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES; TWO PHASE FLOW; VECTORS;

ACID CONCENTRATIONS; ARTIFICIAL NEURAL NETWORKS; CALIBRATION ALGORITHMS; CALIBRATION MODELS; CALIBRATION SAMPLES; INDEPENDENT SETS; LEAST SQUARES SUPPORT VECTOR MACHINES; LINOLEIC AND LINOLENIC ACIDS; LINOLENIC ACIDS; OIL CONTENTS; PALMITIC; PARTIAL LEAST SQUARES; PRECISION IMPROVEMENTS; PREDICTION MODELS; PREDICTION PRECISIONS; RELATIVE CONCENTRATIONS; SOYBEAN FATTY ACIDS; SOYBEANS; STANDARD ERROR OF PREDICTIONS; SVM METHODS; VALIDATION SETS; VALIDATION STRATEGIES;

INFRARED SPECTROSCOPY;

GLYCINE MAX;

EID: 57249097075     PISSN: 0003021X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11746-008-1311-1     Document Type: Article

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