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- Hurburgh, Charles R. Jr., et al. Show all 3 Authors
- journal of the American Oil Chemists' Society 2008 v.85 no.12 pp. 1105-1113
- lipid content; linoleic acid; Glycine max; linear models; linolenic acid; fatty acid composition; calibration; neural networks; soybeans; stearic acid; chemical analysis; near-infrared spectroscopy; regression analysis; palmitic acid; oleic acid; algorithms; United States
- ... Whole soybean fatty acid contents were measured by near infrared spectroscopy. Three calibration algorithms--partial least squares (PLS), artificial neural networks (ANN), and least squares support vector machines (LS-SVM)--were implemented. Three different validation strategies using independent sets and part of calibration samples as validation sets were created. There was a significant improvem ...