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Multiple linear regression (MLR), the principal components analysis (PCA) and partial least squares (PLS) method are the traditional chemo metric methods in the near infrared spectral analysis. However", "these linear methods could not obtain the very good predicted accuracy. in this paper, the research on application of Fuzzy Pattern Recognition to qualitative analysis of Near infrared...
We have applied principal component analysis-artificial neural network (PCA-ANN) in near infrared (NIR) spectroscopy to synchronous and rapid determining the contents of polysaccharide and protein in the Coriolus versicolor Powders. Back-Propagation (BP) Networks which adopt Levenberg-Marquardt training algorithm have been developed. Via analyzing the NIR spectra matrix by principal component analysis...
The aim of this study was to analyze the density of larch samples using near-infrared (NIR) spectroscopy. A multivariate analysis (MVA) method of principal component regression (PCR) was applied to the NIR spectroscopy of the samples. Using PCR method, correlation coefficients was 0.954 for the calibration model and 0.911 for the validation model with standard error of calibration (SEC) and standard...
The near-infrared spectroscopy (NIR) was used in modeling of rapid shelf-life identification in citrus in this paper. The spectra of 54 citrus yielded in Huangyan were collected at three different times, and were set of class I, II and III (interval of 10 days), respectively. The principal component analysis was applied in characteristic selection, and ten variables were used as the input of the neural...
Science developments entered a new era in the 21 century. The tendency is clear. The individual scientific fields started to cross each other again in order to have the depth and width in the development. Especially the computer science, it is the fundamental pillar for all the others sciences nowadays. A good example is its applications in Near Infrared spectroscopy (NIR). NIR is a rather new molecular...
A new instrument for the variety discrimination of fragrant mushrooms was designed and fabricated. First, the principle of using visible and near infrared (Vis/NIR) spectroscopy for variety discrimination of fragrant mushrooms was introduced. Then, the method of using error back propagation artificial neural network (BP-ANN) in the Vis/NIR spectral data analysis was elaborated. Before applying BP-ANN...
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