Spectral Data Classification By One-Dimensional Convolutional Neural Networks

2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)(2021)

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摘要
Despite the dominance of Chemometric methods and traditional machine learning algorithms in the field of one-dimensional (1D) spectral data analysis for decades, they still rely on trivial pre-processing steps and hand-crafted feature selections based on domain expertise. Deep two-dimensional convolutional neural networks (2D CNNs) which utilize automatic feature extraction for maximum accuracy ha...
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关键词
Support vector machines,Machine learning algorithms,Data analysis,Two dimensional displays,Computer architecture,Feature extraction,Natural language processing
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