Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution

Analyst, 2017, Accepted Manuscript DOI: 10.1039/C7AN01371J, PaperJinchao Liu, Margarita Osadchy, Lorna Ashton, Michael Foster, Christopher Solomon, Stuart J Gibson Machine learning methods have found many applications in Raman spectroscopy, especially for the identification of chemical species. However, almost all of these methods require non-trivial preprocessing such as baseline correction... The content of this RSS Feed (c) The Royal Society of Chemistry
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