Artificial Intelligence in Analytical Spectroscopy, Part II: Examples in Spectroscopy
نویسندگان
چکیده
In Part I (February 2023) of this two-part series on artificial intelligence (AI), and its subfield machine learning (ML), we presented the variety chemometric algorithms used to compare AI, ML, chemometrics. These included those for classification, regression, clustering, ensemble learning, signal processing, component analysis. Now, in II, discuss applications AI electronic vibrational spectroscopy. We also touch some deep (DL), which is a where more complex neural networks (ANNs) with hidden layers are used. This column article includes number selected references that application analytical chemistry molecular give few early late examples ML as applied different spectroscopy methods, such Raman, infrared (FT-IR), near-infrared (NIR), ultraviolet–visible (UV-vis) spectroscopic techniques. intended only sampling numerous research manuscripts addressing subject.
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ژورنال
عنوان ژورنال: Spectroscopy
سال: 2023
ISSN: ['0712-4813', '1875-922X']
DOI: https://doi.org/10.56530/spectroscopy.js8781e3