Titlebook: Chemometric Methods in Analytical Spectroscopy Technology; Xiaoli Chu,Yue Huang,Xihui Bian Book 2022 The Editor(s) (if applicable) and The

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https://doi.org/10.1007/978-3-322-97706-9matic learning features. The term “deep” usually refers to hidden layers in neural networks. The network will be deeper with more layers. Traditional neural networks only contain two or three layers, while deep networks may contain dozens or even hundreds of hidden layers.

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pth explanation of deep learning algorithms.This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including rep

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Book 2022 spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic

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Book 2022In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields..

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Method of Selecting Calibration Samples,a robust model. As shown in Fig. ., the selection of samples is to select the row vector of spectral matrix . and the row vector of corresponding concentration matrix ., and the selection of wavelength is to select the column vector of spectral matrix ..