The method of partial least-squares regression (PLSR) can effectively deal with the problems of multicollinearity among independent variables, but can not ideally solve the complicated problems of nonlinearity between dependent variables and independent variables. The method of coupling model with back propagations artificial neural network (BP-ANN) and projection pursuit (PP) is an ideal tool ...

The rapid and non-destructive monitoring of the canopy leaf nitrogen concentration (LNC) in crops is important for precise nitrogen (N) management. Nowadays, there is an urgent need to identify next-generation bio-physical variable retrieval algorithms that can be incorporated into an operational processing chain for hyperspectral satellite missions. We assessed six retrieval algorithms for est...

Phase contrast microscopy is a widely-used technique to observe multi-cellular processes. Two template matching based approaches are proposed to automatically segment cells migrating in 3D Extracellular Matrix (ECM) from phase contrast images. The first approach is based on Partial Least Square Regression (PLSR), while the second applies Principal Component Analysis (PCA) and Support Vector Mac...

For a fast and accurate evaluation of the values damaged fragrant pears, prediction method damage degree Korla pears was proposed. To study variation laws damages under different volumes squeezing deformation, partial least squares regression (PLSR), generalised neural network (GRNN) adaptive fuzzy inference system (ANFIS) were chosen to predict establish optimal model. The results demonstrated...

The purpose of this study was to enhance the accuracy calorific value estimation coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS). Savitzky–Golay (SG)-smoothing and SG derivative were adopted improve prediction model. relationship among original, SG-smoothing-pretreated, derivative-pretreated LIBS their elemental concentrations determined using partial ...

Building cost-effective models is of academic and practical value for fast measurement of soil properties, especially at a farm-scale. The aim of this study is to build quantitative models for soil total nitrogen (TN) and total carbon (TC) using visible and near infrared (VIS-NIR) spectroscopy. Dried samples (n=122) collected from an experimental farm, at Silsoe, Bedfordshire, United Kingdom, w...

To evaluate chemical compositions and heterogeneity of comonomer sequences in methyl methacrylate (MMA)-tert-butyl methacrylate (TBMA) copolymers, multivariate analysis was applied to the 13C nuclear magnetic resonance (NMR) spectra of the carbonyl, backbone quaternary and a-methyl carbons of the copolymers. A better linear relationship was found between the first principal component score and ...

To determine the influence of plant density and powdery mildew infection of winter wheat and to predict grain yield, hyperspectral canopy reflectance of winter wheat was measured for two plant densities at Feekes growth stage (GS) 10.5.3, 10.5.4, and 11.1 in the 2009-2010 and 2010-2011 seasons. Reflectance in near infrared (NIR) regions was significantly correlated with disease index at GS 10.5...

The past decade has witnessed a rapid decline in the Arctic sea ice and therefore raised rising demand for forecasts. In this study, based on an analysis of long-term summer concentration (SIC) global surface temperature (SST) datasets, physical–empirical (PE) partial least squares regression (PLSR) model is presented order to predict SIC variability around key areas shipping route. First, main...