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Title: PCAPMAPPLSPBP Download
 Description: This a kind of nonlinear modeling method and system based on near infrared spectrum, described the near infrared spectrum data randomly selected part as calibrating, pick out the part as a validation set Will be described in the calibration set and described in the validation set is obtained by principal component analysis (spectral feature space It is spectral feature space, the selection method described by markov distance calibration set and validation set described in each sample with the sample as the calibration subsets Principal components extracted calibration described subset, as BP neural network input layer to establish a regression model, not only can solve the problem of multiple correlation among various factors, also avoid a lot of noise and some useless information, reducing the variable dimension, the nonlinear mapping ability of BP neural network and adaptive learning ability, on the basis of improve stability and accuracy of the prediction of the model.
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PCA+MA+PLS+BP.m
    

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