{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-convolutional-neural-networks-for-raman","title":"Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution","arxiv_id":"1708.09022","date":"2017-08-18","proceeding":null,"authors":["Jinchao Liu","Margarita Osadchy","Lorna Ashton","Michael Foster","Christopher J. Solomon","Stuart J. Gibson"],"abstract":"Machine learning methods have found many applications in Raman spectroscopy,\nespecially for the identification of chemical species. However, almost all of\nthese methods require non-trivial preprocessing such as baseline correction\nand/or PCA as an essential step. Here we describe our unified solution for the\nidentification of chemical species in which a convolutional neural network is\ntrained to automatically identify substances according to their Raman spectrum\nwithout the need of ad-hoc preprocessing steps. We evaluated our approach using\nthe RRUFF spectral database, comprising mineral sample data. Superior\nclassification performance is demonstrated compared with other frequently used\nmachine learning algorithms including the popular support vector machine.","url_abs":"http://arxiv.org/abs/1708.09022v1","url_pdf":"http://arxiv.org/pdf/1708.09022v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-convolutional-neural-networks-for-raman","repo_url":"https://github.com/DwijayDS/Raman-Spectroscopy","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[{"method_slug":"pca","method_name":"PCA"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}