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Visible and near-infrared reflectance (visible-NIR) spectroscopy is applied to discriminate different varieties of bayberry juices. The discrimination of visible-NIR spectra from samples is a matter of pattern recognition. By partial least squares (PLS), the spectrum is reduced to certain factors, which are then taken as the input of the backpropagation(More)
The potential of visible and near-infrared reflectance spectroscopy (vis-NIRS) was investigated for its ability to nondestructively detect soluble solids contents (SSC) and pH in orange juices. A total of 104 orange juice samples were used for vis-NIRS at 325-1075 nm using a field spectroradiometer. Wavelet packet transform, standard normal variate(More)
A combined estimation model, artificial neural network (ANN) combined with partial least square regression (PLS) method, has been developed for estimation of rapeseed N status. Spectra tests were performed on the rapeseed canopy of 150 samples in the field using a spectrophotometer (325-1075 nm). 5 optimal PLS principal components were determined by PLS(More)
engineers integrate and apply principles of engineering and biology to a wide variety of socially important problems. The MSU biosystems engineering program prepares graduates to: • identify and solve problems at the interface of biology and engineering, using modern engineering techniques and the systems approach and • analyze, design, and control(More)
An improved method was proposed in order to accelerate the convergence speed and reduce the training time of back propagation (BP) neural network. The principal component analysis (PCA) was used as the pre-processing to select principal components from the input variables. The regression and correlation analysis were used as the post-processing to analyze(More)
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