Acta Optica Sinica, Volume. 43, Issue 12, 1206001(2023)
Application of Support Vector Machine in Quantitative Analysis of Mixed Gas
Fig. 1. Schematic of sensing acquisition system based on thulium-doped fiber ring cavity
Fig. 2. Physical map of sensing acquisition system based on thulium-doped fiber ring cavity
Fig. 4. Sample diagrams of absorption spectrum data. (a)-(c) Absorption spectrum data after pretreatment of pure NH3 gas with volume fraction of 2%, absorption spectrum data after Lorentz fitting, and absorption spectrum data obtained by simulation according to HITRAN database; (d)-(f) absorption spectrum data after pretreatment of pure CO2 gas with volume fraction of 5%, absorption spectrum data after Lorentz fitting, and absorption spectrum data obtained by simulation according to HITRAN database; (g)-(i) pre-processed absorption spectrum data of mixed gas of NH3 with volume fraction of 2% and CO2 with volume fraction of 2%, absorption spectrum data after Lorentz fitting, and absorption spectrum data obtained by HITRAN database simulation
Fig. 5. Partial principal component distributions after PCA dimensionality reduction on training set. (a) NH3-SVM model; (b) CO2-SVM model
Fig. 7. Error curves of adaptive particle swarm optimization for model train set. (a) NH3-SVM model; (b) CO2-SVM model
Fig. 8. Comparison of results of train set and test set. (a) Comparison of set volume fraction and predicted volume fraction for NH3-SVM model train set; (b) comparison of set volume fraction and predicted volume fraction for CO2-SVM model train set; (c) comparison of set volume fraction and predicted volume fraction for NH3-SVM model test set; (d) comparison of set volume fraction and predicted volume fraction for CO2-SVM model test set
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Jifang Shan, Kun Liu, Junfeng Jiang, Tiegen Liu, Hui Yin. Application of Support Vector Machine in Quantitative Analysis of Mixed Gas[J]. Acta Optica Sinica, 2023, 43(12): 1206001
Category: Fiber Optics and Optical Communications
Received: Sep. 6, 2022
Accepted: Oct. 27, 2022
Published Online: Jun. 20, 2023
The Author Email: Liu Kun (beiyangkl@tju.edu.cn)