A method based on a one-dimensional convolutional neural network for UV-vis spectrometric quantification of nitrate and COD in water under random turbidity disturbance scenario

This paper proposed a novel spectrometric quantification method for nitrate and COD concentration in water using a double-channel 1-D convolution neural network for relatively long UV-vis absorption spectra data (2600 points). To improve the model's ability to resist turbidity disturbance, a ne...

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Detalles Bibliográficos
Autores principales: Xia, Meng, Yang, Ruifang, Yin, Gaofang, Chen, Xiaowei, Chen, Jingsong, Zhao, Nanjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773182/
https://www.ncbi.nlm.nih.gov/pubmed/36605648
http://dx.doi.org/10.1039/d2ra06952k

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773182/
https://www.ncbi.nlm.nih.gov/pubmed/36605648
http://dx.doi.org/10.1039/d2ra06952k

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