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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...
The potential of artificial neural network (ANN) as a way for the nondestructive variety discrimination of fragrant mushrooms was evaluated. First, the visual and near infrared spectral data were analyzed by principal components analysis (PCA) for space clustering. The principal components (PCs) containing the main information of original spectra were picked out as the inputs of BP-ANN with three...
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