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
基本信息
DOI: | 10.3964/j.issn.1000-0593(2020)09-2981-08 |
中图分类号: | O657.32 |
栏目: | |
项目基金: | the National Natural Science Foundation of China (31801634, 21806013), the National Key Research and Development Program of China (2017YFD0801201) |
收稿日期: | 2019-02-20 |
修改稿日期: | 2020-01-01 |
网络出版日期: | 2020-12-01 |
通讯作者: | 刘鑫 (liuxin_CN@qq.com) |
备注: | -- |
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.