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A new hybrid algorithm (WPNOSC-NPLS) is proposed to eliminate the interference of temperature variation and develop the robust calibration models for determining the main components concentration in milk using the near infrared spectra. At first, the three dimensional (3D) spectra including wavelength, temperature and absorbency are constructed. Through unfolding method, the wavelet packet transform...
To take advantages of multiscale property of near infrared (NIR) spectra, a new hybrid algorithm (GA-WPLS) was proposed for developing the multivariate regression model in the wavelet domain instead of the spectra domain. At first, wavelet packet transform (WPT) algorithm and its reconstruction algorithm are employed to split the raw spectra into different frequency components in wavelet domain. Then...
A new algorithm (WFCE) was proposed for simultaneously eliminating background and noise based on wavelet packet transform (WPT) and information entropy theory. At first, WPT algorithm and reconstruction algorithm were employed to split the raw spectra into different frequency components. Then the information entropy of each frequency component was calculated, showing the uncertainty to the measured...
To improve the training efficiency of least squares-support vector machine (LS-SVM) method, a new algorithm was proposed for developing the multivariate regression model using near-infrared (NIR) spectra and named as PCA-PSO-LS-SVM. Coupled with principal component analysis (PCA) and particle swarm optimization (PSO), this algorithm can take advantage of spectral dimension reduction and parameter...
To establish the analytical calibration models with strong prediction ability and robust performance, it is very important to eliminate the interference information in diary product measurement using near-infrared (NIR) spectroscopy techniques. In this paper, five correction methods including extended multiplicative scatter correction, standard normal variate, orthogonal signal correction, similar...
A new hybrid algorithm (EWPCS) was proposed for selecting appropriate wavelet packet components containing the variations of analyte as the input data of regression model based on wavelet packet transform (WPT) and information entropy theory. At first, WPT algorithm and its reconstruction algorithm are employed to split the raw spectra into different frequency components with the maximum levels. Then...
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