Deep learning for vibrational spectral analysis: Recent progress and a practical guide

• Published in: Analytica chimica acta Vol. 1081; pp. 6 - 17
• Main Authors: Yang, Jie, Xu, Jinfan, Zhang, Xiaolei, Wu, Chiyu, Lin, Tao, Ying, Yibin
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 12.11.2019
• Subjects: Analysis; Artificial intelligence; Chemometrics; Convolutional neural network; Deep learning; Spectroscopy; Deep learning; Spectroscopy; Artificial intelligence; Convolutional neural network; Analysis; Chemometrics

The development of chemometrics aims to provide an effective analysis approach for data generated by advanced analytical instruments. The success of existing analytical approaches in spectral analysis still relies on preprocessing and feature selection techniques to remove signal artifacts based on...