| 书目名称 | Chemometric Methods in Analytical Spectroscopy Technology | | 编辑 | Xiaoli Chu,Yue Huang,Xihui Bian | | 视频video | | | 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 | | 图书封面 |  | | 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 | | 关键词 | Chemometrics; Spectroscopy; Process Analytical Technology; Multivariate Calibration; Pattern Recognition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-1625-0 | | isbn_softcover | 978-981-19-1627-4 | | isbn_ebook | 978-981-19-1625-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 16:49:51
