Research of nitrate concentration prediction based on GA | |
Wang, Xueji1,2; Hu, Bingliang1; Yu, Tao1; Liu, Qingsong1,2; Li, Hongbo1,2; Fan, Yao1 | |
2018 | |
会议名称 | International Symposium on Optoelectronic Technology and Application 2018: Ocean Optics and Information Technology, OTA 2018 |
会议录名称 | Ocean Optics and Information Technology |
卷号 | 10844 |
会议日期 | 2018-05-22 |
会议地点 | Beijing, China |
出版者 | SPIE |
产权排序 | 1 |
摘要 | High concentration of nitrate will cause many problems, such as water eutrophication and compromise of human beings' health. A fast and stable approach was applied to predict nitrate concentration in solutions using the dual optical active correction continuous spectrum analyzer designed by our research group. Firstly, standard normal variate (SNV) was used to pretreat the spectral data. Then characteristic wavelengths of spectral curve were selected by using successive projections algorithm (SPA) and genetic algorithm (GA) respectively. Finally, partial least-squares regression (PLSR) was applied to build the spectral prediction model to predict nitrate concentration, and coefficient of determination (R2) and root mean square error of prediction (RMSEP) were introduced as the evaluation indicators of prediction models. For SNV-GA-PLS model, R2=0.9966 and RMSEP=0.1712, which outperformed than SNV-UVE-SPA-PLS model (R2=0.9896, RMSEP=0.3952). It demonstrated that he model which selects spectral characteristic wavelengths by GA can decrease the complexity of prediction model building and ensure the accuracy as well. Hence, SNV-GA-PLS model can be used to predict nitrate concentration in water with quick and steady performance. © 2018 SPIE. |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1117/12.2504459 |
收录类别 | EI |
ISBN号 | 9781510623422 |
语种 | 英语 |
ISSN号 | 0277786X;1996768X |
EI入藏号 | 20185206315957 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/31146 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.Laboratory of Spectral Imaging Technique, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Wang, Xueji,Hu, Bingliang,Yu, Tao,et al. Research of nitrate concentration prediction based on GA[C]:SPIE,2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Research of nitrate (399KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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