Study on Analysis Method of Distillers Grains Acidity Based on Convolutional Neural Network and Near Infrared Spectroscopy

WANG Qi-biao; HE Yu-kai; LUO Yu-shi; WANG Shu-jun; XIE Bo; DENG Chao; LIU Yong; TUO Xian-guo

doi:10.3964/j.issn.1000-0593(2023)12-3726-06

Spectroscopy and Spectral Analysis, Volume. 43, Issue 12, 3726(2023)

Study on Analysis Method of Distillers Grains Acidity Based on Convolutional Neural Network and Near Infrared Spectroscopy

WANG Qi-biao¹, HE Yu-kai¹, LUO Yu-shi¹, WANG Shu-jun¹, XIE Bo², DENG Chao², LIU Yong³, and TUO Xian-guo³

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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References(3)

[12] [12] Khan A, Sohail A, Zahoora U, et al. Artificial Intelligence Review, 2020, 53(8): 5455.

[13] [13] Kiranyaz S, Avci O, Abdeljaber O, et al. Mechanical Systems and Signal Processing, 2021, 151: 107398.

[19] [19] Qiu Z J, Chen J, Zhao Y Y, et al. Applied Sciences, 2018, 8(2): 212.

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WANG Qi-biao, HE Yu-kai, LUO Yu-shi, WANG Shu-jun, XIE Bo, DENG Chao, LIU Yong, TUO Xian-guo. Study on Analysis Method of Distillers Grains Acidity Based on Convolutional Neural Network and Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2023, 43(12): 3726

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Paper Information

Received: Nov. 11, 2022

Accepted: --

Published Online: Jan. 11, 2024

The Author Email:

DOI:10.3964/j.issn.1000-0593(2023)12-3726-06

Topics

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