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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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發(fā)表于 2025-3-21 16:49:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Chemometric Methods in Analytical Spectroscopy Technology
編輯Xiaoli Chu,Yue Huang,Xihui Bian
視頻videohttp://file.papertrans.cn/225/224920/224920.mp4
概述Presents use of chemometric algorithms for spectroscopy analysis.Describes each chemometric algorithm and its characteristics.Provides in-depth explanation of deep learning algorithms
圖書(shū)封面Titlebook: Chemometric Methods in Analytical Spectroscopy Technology;  Xiaoli Chu,Yue Huang,Xihui Bian Book 2022 The Editor(s) (if applicable) and The
描述.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..
出版日期Book 2022
關(guān)鍵詞Chemometrics; Spectroscopy; Process Analytical Technology; Multivariate Calibration; Pattern Recognition
版次1
doihttps://doi.org/10.1007/978-981-19-1625-0
isbn_softcover978-981-19-1627-4
isbn_ebook978-981-19-1625-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Fragestellungen und Untersuchungsdesign,In the method of multivariate calibration in combination with spectra, the traditional view is that the multivariate calibration method (such as partial least squares, PLS) has strong anti-interference ability and can participate in the establishment of multivariate calibration model using the full spectrum.
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https://doi.org/10.1007/978-3-322-97501-0The identification of outliers in spectral analysis is mainly used in two aspects: one is the identification of outliers in the process of model building; the other is the determination of whether the samples to be tested are the outliers of the model in predictive analysis.
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Qualit?t von HumandienstleistungenThe maintenance and update of the calibration model is one of the main tasks of spectroscopy combined with chemometrics analysis. No matter how advanced the instruments or how large the model library is, the established calibration model is not permanent.
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