MULTIVARIATE CALIBRATION AND PREDICTION
Prediction of Concentration of Animal Fat in Mixture with Vegetable Oil by Multivariate Calibration Associated with Spectrofluorimetry
... a multivariate calibration model was developed that combines spectrofluri- metry with Partial Least Squares (PLS) for prediction of concentration of animal fat in mixture with vegetable ...The ...
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FTIR ATR and Multivariate Calibration for the Prediction of Biodiesel Concentration in Petrodiesel Blends
... a prediction model, nineteen petrodiesel-biodiesel blends were prepared in triplicate with biodiesel concentrations for 0% - 100% by ...a prediction model through PLS ...of calibration (SEC), the ...
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Dielectric microwave sensors with multivariate calibration
... a calibration (2/3) and a validation group ...the calibration group are used as regressors in a multiple linear regression (MLR) (Johnson and Wichern, ...the prediction of the composition values ...
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Subspace Correction Methods in Multivariate Calibration
... The proposed methods for drift subspace correction, latent subspace correction, and data reconciliation can contribute to increased robustness and reliability of predictions with few or no additional reference ...
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Multivariate calibration with least-squares support vector machines.
... corresponding prediction error is smaller than ...The prediction error of the latter samples is small; hence, their importance is still ...the prediction of the water ...
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Spectrometric Determination of Lansoprazole and Domperidone in Tablets by Multivariate Calibration Approach
... Two multivariate calibration-prediction techniques, principal component analysis (PCR) and partial least squares (PLS) were applied to the spectrometric multicomponent analysis of the drug containing ...
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Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring
... in prediction, it was a rather complex modeling technique and more difficult to ...these calibration models originated from the spectrum of glucose due to the lack of glucose information in this spectral ...
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Multivariate calibration of non-replicated measurements for the factored noise model
... measurements, which is known as iterative principal component regression (IPCR) [2]. It was demonstrated that MVC models built using IPCR has better prediction accuracy than PCR models. Although, IPCR is a useful ...
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Application of FTIR spectroscopy and multivariate calibration for analysis of curcuminoid in syrup formulation
... obtained were 0.9999 (calibration) and 0.9976 (prediction). The errors in calibration (RMSEC) and validation (RMSEP) were relatively low, i.e. RMSEC of 0.00114% and RMSEP of 0.001167%. From residual ...
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UV/VIS Spectrometry with multivariate calibration as a new approach for the Chiral analysis of Fluoxetine
... cyclodextrin. Multivariate calibration methods, including principal component regression (PCR) and partial least square method (PLS), were used for spectral data ...both calibration models were ...
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DETERMINATION OF THE OXIDATIVE STABILITY OF BIODIESEL AND OILS BY ATR-FTIR SPECTROSCOPY AND MULTIVARIATE CALIBRATION .
... and multivariate calibration as a method for determination of oxidative stability of biodiesel and ...The prediction of the oxidative stability showed a good agreement with the results obtained by ...
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Real-time Characterization of Gaseous Fuels using NIR Spectroscopy and Multivariate Calibration.
... 1.7 Technical challenges The most important technical challenge in using NIR spectroscopy for compositional analysis of hydrocarbon fuels is the highly overlapping hydrocarbon spectra. In the near infrared region, as ...
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Development of chemometric multivariate calibration models for spectroscopic quality analysis of biodiesel blends
... for calibration model optimization and ...the prediction capacity of the created model and to optimize its ...the multivariate model accuracy on an independent data ...ANN calibration are ...
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Determination of manganese content in cottonseed meal using near-infrared spectrometry and multivariate calibration
... for calibration and predic- tion sets was shown in ...both calibration and prediction set were near the diagonal line, which suggested that MCUVE-SPA-LSSVM model for cottonseed Mn had excellent ...
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Determination of flash point and cetane index in diesel using distillation curves and multivariate calibration
... variate calibration was associated to the distillation curves of sam- ples from a different training set than that used to predict flash ...the prediction of flash point (item ...
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Multivariate spatial-temporal modeling and prediction of speciated fine particles
... squared prediction error ...did calibration analysis for the speciated PM ...95% prediction intervals for the i th time given the data, not using data from the i th time we are ...the ...
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Electronic tongues multivariate calibration for the analysis of metals
... As it provides limited options and it has to be done all throw the GUI (time consuming) only a few ANN have been tested to analyze one of the heavy metals. After these preliminary t[r] ...
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Monitoring of Soybean Oil Transesterification by Spectrofluorimetry and Multivariate Calibration
... a multivariate approach [9], Fourier-Transformed Infrared (FTIR) Spectrosco- py [1], Size Exclusion Chromatography (SEC) [10], Ultrasonic Measurement [11] and Fiber-Optic Near Infrared Spectroscopy with ...
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Mathematical programming on multivariate calibration estimation in stratified sampling
... A calibration estimator uses calibrated weights that are determined to minimize a given distance measure to the original design weights while satisfying a set of constraints related to the auxiliary ...new ...
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Digital twin using multivariate prediction
... To make the predictive performance of the model more clear, Figure 7.3 displays the differences of the model predictions and the actual values. Values on the diagonal line mean that the predicted and the measured values ...
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