光谱学与光谱分析, 2020, 40 (9): 2981, 网络出版: 2020-12-01   

基于紫外-可见光谱与深度学习CNN算法的水质COD预测模型研究

Study on the Predication Modeling of COD for Water Based on UV-VIS Spectroscopy and CNN Algorithm of Deep Learning
贾文珅 1,2,3,4张恒之 2马洁 2梁刚 1,3,4王纪华 1,3,4刘鑫 5,*
作者单位
1 北京农业质量标准与检测技术研究中心, 北京 100097
2 北京信息科技大学自动化学院, 北京 100192
3 农业部农产品质量安全风险评估实验室, 北京 100097
4 农业农村部华北都市农业重点实验室, 北京 100097
5 北京海关技术中心, 北京 100026
引用该论文

贾文珅, 张恒之, 马洁, 梁刚, 王纪华, 刘鑫. 基于紫外-可见光谱与深度学习CNN算法的水质COD预测模型研究[J]. 光谱学与光谱分析, 2020, 40(9): 2981.

JIA Wen-shen, ZHANG Heng-zhi, MA Jie, LIANG Gang, WANG Ji-hua, LIU Xin. Study on the Predication Modeling of COD for Water Based on UV-VIS Spectroscopy and CNN Algorithm of Deep Learning[J]. Spectroscopy and Spectral Analysis, 2020, 40(9): 2981.

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贾文珅, 张恒之, 马洁, 梁刚, 王纪华, 刘鑫. 基于紫外-可见光谱与深度学习CNN算法的水质COD预测模型研究[J]. 光谱学与光谱分析, 2020, 40(9): 2981. JIA Wen-shen, ZHANG Heng-zhi, MA Jie, LIANG Gang, WANG Ji-hua, LIU Xin. Study on the Predication Modeling of COD for Water Based on UV-VIS Spectroscopy and CNN Algorithm of Deep Learning[J]. Spectroscopy and Spectral Analysis, 2020, 40(9): 2981.

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