Research on Gas Identification of Sensor Arrays Based on Sparrow-Optimized for Support Vector Machines

DOI: https://doi.org/10.62517/jes.202602118

Author(s)

Wanting Wang1, Yukang Tang1, Liyang Xi1, Yihang Wang1, Tingting Shao1,2,*

Affiliation(s)

1School of Physics and Electronic Information, Yan’an University, Yan’an, China 2Shaanxi Key Laboratory of Intelligent Processing for Big Energy Data, Yan’an, China *Corresponding Author

Abstract

It is difficult to identify multiple volatile organic compounds (VOC) using a single gas sensor, while integrating sensor arrays with machine learning algorithms can classified. The performance of support vector machines (SVM) depends on judicious parameter selection, but it is hard to achieve global optimal solutions using conventional empirical tuning struggles. The Sparrow Search Algorithm was used for global parameter optimization of SVM (SSA-SVM) to enhance gas classification accuracy in sensor arrays. Training and validation were conducted using publicly available datasets from the University of California, Irvine (UCI) Machine Learning Repository. Results demonstrate that compared to the SVM model, SSA-SVM improves gas recognition accuracy from 97.01% to 99.25%. Integrating sensor arrays with the SSA-SVM model provides valuable reference for gas classification recognition systems and holds practical significance for monitoring mixed-gas pollution in industrial or atmospheric environments.

Keywords

Sensor Array; Gas Identification; Support Vector Machine; Sparrow Search Algorithm

References

[1]Tang F, Fu J, Xing X, Yan G, Zhang G. Materials for chemical resistance type gas sensors: VOCs identification. Materials Today, 2025, 89: 621-648. [2]Zhang Y. Design and Optimization of Gas Sensor Based on Machine Learning. Nanjing University of Posts and Telecommunications, 2023. [3]Liu C. Research on Detection Algorithm of Exhaled Biomarkers in Diabetic Patients Based on Machine Learning. Changchun University Of Technology, 2023. [4]Song T. Research on the Detection Method of Mixed Gas Based on MOS Gas Sensor Array. Harbin University of Science and Technology, 2022. [5]Fonollosa, Jordi. Gas Sensor Array under Dynamic Gas Mixtures. UCI Machine Learning Repository. 2015. [6]Xia Y W. Research on Detection Method of Mixed Gas Based on Sample Unbalance Condition. Harbin University of Science and Technology, 2023. [7]Vladimir N. Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag, 1995. [8]Chang C, Lin C J. Libsvm. ACM Transactions on Intelligent Systemsand Technology, 2011. 2(3): 1-27.   [9]Xue J, Shen B. A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm. Systems Science & Control Engineering, 2020, 8 (1): 22-34. [10]Li B, Chen Y. Uncertainty-driven portfolio selection via a multi-strategy modified sparrow search algorithm approach. Chaos, Solitons & Fractals, 2025, 201(3): 117349.