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Research on gas concentration identification based on sparrow search algorithm optimization SVR

Yuanman Zhang

Yuanman Zhang

School of Information and Control Engineering, Jilin Institute of Chemical TechnologyJilin City, China
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Zhang, Yuanman
, 
Yanan Zou

Yanan Zou

School of Science, Jilin Institute of Chemical TechnologyJilin City, China
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Zou, Yanan
 e 
Qingyun Wu

Qingyun Wu

School of Information and Control Engineering, Jilin Institute of Chemical TechnologyJilin City, China
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Wu, Qingyun
  
26 lug 2025
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Categoria dell'articolo: Research Article
Pubblicato online: 26 lug 2025
Ricevuto: 13 ott 2024
DOI: https://doi.org/10.2478/ijssis-2025-0038
Parole chiave
© 2025 Yuanman Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Flow chart of the gas concentration prediction algorithm. SSA, sparrow search algorithm; SVR, support vector regression.
Flow chart of the gas concentration prediction algorithm. SSA, sparrow search algorithm; SVR, support vector regression.

Figure 2:

Fitness change curves of two different algorithms. SSA, sparrow search algorithm.
Fitness change curves of two different algorithms. SSA, sparrow search algorithm.

Figure 3:

The absolute error of the two algorithm models. SSA, sparrow search algorithm; SVM, support vector machine.
The absolute error of the two algorithm models. SSA, sparrow search algorithm; SVM, support vector machine.

Initial parameter table

Parameter Value
Maximum iterations 200
Population size 100
Optimization parameter number 2
Upper limit of optimization parameter 2−10
Lower limit of optimization parameter 210
Cross-check the number of folds 5

Model parameter settings

Algorithm Parameter Value range Optimum value
SVR C / 10
g 0.5
SSA-SVR Alarm value [0.5, 1] 0.8
Safety threshold [0, 1] 0.2
TSSA-SVR Alarm value [0.5, 1] 0.8
Safety threshold [0, 1] 0.2

Quantitative identification results of mixed gases

Model RMSE MAE R2 Acc (%)
SVR 2.626 2.336 0.095 81.80
SSA-SVR 1.982 1.485 0.375 87.43
GA-SVR 1.892 1.367 0.482 89.67
PSO-SVR 1.765 1.220 0.512 90.36
TSSA-SVR 0.286 0.425 0.896 94.47
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