Chemometric Methods in Analytical Spectroscopy Technology

Xiaoli Chu, Yong-Huan Yun, Yue Huang, et al.

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Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Physikalische Chemie

Beschreibung


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 representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In 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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Schlagwörter

Multivariate Calibration, Pattern Recognition, Deep Learning, Machine Learning, Spectroscopy, Process Analytical Technology, Chemometrics