A novel KPLS-PLS batch monitoring and quality prediction approach based on fuzzy clustering soft-partition is proposed to solve the stage-transition monitoring and prediction problem in multistage batch processes. The proposed method calculates firstly similarity indices between different time-slice data matrices of batch processes, then phase division algorithm is designed by fuzzy clustering ...

The Degrees of Freedom of Kernel Partial Least Squares (KPLS) require all eigenvalues of the kernel matrix K, hence the computation is cubic in the number of observations n. •We use Kernel PLS itself to approximate the eigenvalues of the kernel matrix. −→ We can compute approximate Degrees of Freedom of KPS in O ( n2 ) ! •We can also compute approximate confidence intervals for KPLS in O ( n2 ) !

The terahertz (THz) spectra of rapeseed leaves with different water content (WC) were investigated. The transmission and absorption spectra in the range of 0.3-2 THz were measured by using THz time-domain spectroscopy. The mean transmittance and absorption coefficients were applied to analyze the change regulation of WC. In addition, the Savitzky-Golay method was performed to preprocess the spe...

In this paper, we propose a gene extraction method by using two standard feature extraction methods, namely the T-test method and kernel partial least squares (KPLS), in tandem. First, a preprocessing step based on the T-test method is used to filter irrelevant and noisy genes. KPLS is then used to extract features with high information content. Finally, the extracted features are fed into a cl...

I-vectors are concise representations of speaker characteristics. Recent progress in i-vectors related research has utilized their ability to capture speaker and channel variability to develop efficient automatic speaker verification (ASV) systems. Inter-speaker relationships in the i-vector space are nonlinear. Accomplishing effective speaker verification requires a good modeling of these non-...

Soft sensors are inferential estimators when the employment of hardware is inapplicable, expensive, or difficult in industrial plant processes. Currently, a simple soft sensor, namely locally weighted partial least squares (LW-PLS), which can cope with nonlinearity process, has been developed. However, LW-PLS exhibits disadvantages handling strong nonlinear process data. To address this problem...

in the present work we study the use of fourier transform near infrared spectroscopy (ftnirs)technique to analysis the calcium (ca), phosphorus (p) and copper (cu) contents offish meal. the regression methods employed were partial least squares (pls) and kernelpartial least squares (kpls). the results showed that the efficiency of kpls was better thanpls. as a whole, the application of ft-nirs ...

The quantitative structure-retention relationship (QSRR) of nanoparticles in roadside atmosphere against the comprehensive two-dimensional gas chromatography which was coupled to high-resolution time-of-flight mass spectrometry was studied. The genetic algorithm (GA) was employed to select the variables that resulted in the best-fitted models. After the variables were selected, the linear multi...

In the present paper, informatics-aided quantitative structure activity relationship (QSAR) models using genetic algorithm-partial least square (GA-PLS), genetic algorithm-Kernel partial least square (KPLS), and Levenberg-Marquardt artificial neural network (LM ANN) approach were constructed to access the antimalarial activity (pIC50) of 2,5-diaminobenzophenone derivatives. Comparison of errors...