Overfitting One-Dimensional convolutional neural networks for Raman spectra identification

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy（2022）

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摘要

•1D CNN network with one layer is enough to classify unknown substances.•Data augmentation for training 1D CNN increases Spectrum classification accuracy.•Over-fitting a problem in Machine learning is a useful tool for spectroscopy.•Faster handheld spectrometers using 1D CNN for Chemometrics.

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关键词

CNN,Deep learning,Handheld spectrometer,Spectral matching,AI in Chemometrics

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