DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

标题
DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis
作者
关键词
Chemometrics, Inception, Convolutional neural network, Model accuracy, Repeatability
出版物
ANALYTICA CHIMICA ACTA
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2019-01-09
DOI
10.1016/j.aca.2019.01.002

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