2012
DOI: 10.1016/j.foodchem.2012.04.073
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Qualitative and quantitative analysis in sandalwood oils using near infrared spectroscopy combined with chemometric techniques

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Cited by 18 publications
(11 citation statements)
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“…To our basic knowledge, the nearer the value of and come to 1, the better the line of cal ibration and prediction result could be; the lower the value of RMSEC, RMSECV and RMSECP is, the more accurate the calibration model and prediction could be. As to the RPD, it is equal to the value of SD (mean square deviation) being dividing by RMSEP, with the use of evaluating the model's ability of predic tions, the bigger the value of RPD is, the higher pre diction ability the model has, and when it is bigger than three, it means that the model can predict accu rately [17].…”
Section: Comparison Of Different Spectral Pretreatment Methodsmentioning
confidence: 99%
“…To our basic knowledge, the nearer the value of and come to 1, the better the line of cal ibration and prediction result could be; the lower the value of RMSEC, RMSECV and RMSECP is, the more accurate the calibration model and prediction could be. As to the RPD, it is equal to the value of SD (mean square deviation) being dividing by RMSEP, with the use of evaluating the model's ability of predic tions, the bigger the value of RPD is, the higher pre diction ability the model has, and when it is bigger than three, it means that the model can predict accu rately [17].…”
Section: Comparison Of Different Spectral Pretreatment Methodsmentioning
confidence: 99%
“…The role of regularization parameter (c) and kernel parameter (r 2 ) for making a good LS-SVM model with high prediction accuracy and stability is crucial [28,[40][41][42][43][44][45][46]. Root mean squared error for prediction is described as a statistical evaluation index for performance of the LS-SVM prediction models and obtained by Eq.…”
Section: Continuous Wavelet Transform Methodsmentioning
confidence: 99%
“…A set of linear equations is required to be solved during the training of LS-SVM and the complexity of calculation is decreased much [28][29][30]. Due to the choice of quadratic function, LS-SVM loses more sparseness for empirical risk in comparison to SVM.…”
Section: Introductionmentioning
confidence: 99%
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“…From 2004 to 2007, much research on the application of the SVM method in disease and insect pest recognition was conducted by Tian et al [ 14 ], which discovered that the SVM method has high recognition performance. Santalum album Linn , a semi-parasitic small tree of the genus Santalum and of the family Santalaceae , is one of the most expensive types of wood [ 14 , 15 , 16 , 17 , 18 ] and is listed as one of the national key protected plants. Sandalwood have long medical history [ 19 ], based on the object of research, the pathogen of seedlings early destruction [ 20 ], the articles about its spike disease [ 21 ], and the spike disease phytoplasma identification [ 22 , 23 ], and report about sandalwood ulcer disease problems.…”
Section: Introductionmentioning
confidence: 99%