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Research of nitrate concentration prediction based on GA
Wang, Xueji1,2; Hu, Bingliang1; Yu, Tao1; Liu, Qingsong1,2; Li, Hongbo1,2; Fan, Yao1
2018
Conference NameInternational Symposium on Optoelectronic Technology and Application 2018: Ocean Optics and Information Technology, OTA 2018
Source PublicationOcean Optics and Information Technology
Volume10844
Conference Date2018-05-22
Conference PlaceBeijing, China
PublisherSPIE
Contribution Rank1
AbstractHigh 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.
Department光谱成像技术实验室
DOI10.1117/12.2504459
Indexed ByEI
ISBN9781510623422
Language英语
ISSN0277786X;1996768X
EI Accession Number20185206315957
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31146
Collection光谱成像技术实验室
Affiliation1.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
Recommended Citation
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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