Support vector machine qualitative correction algorithm for multicomponent gases based on whale optimization algorithm

Mingxue Bi; Handong Yu; Bingjie Hu; Xufeng Wang

doi:10.1117/12.3025412

28 February 2024 Support vector machine qualitative correction algorithm for multicomponent gases based on whale optimization algorithm

Mingxue Bi, Handong Yu, Bingjie Hu, Xufeng Wang

Author Affiliations +

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130712X (2024) https://doi.org/10.1117/12.3025412
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

This paper introduces a support vector machine (SVM) multicomponent gas qualitative correction algorithm based on the whale optimization algorithm (WOA), which combines the advantages of WOA and SVM and aims to solve the cross-talk problem in multicomponent gas analysis. Through the steps of data preprocessing, feature extraction, training SVM model and prediction, the algorithm can effectively reduce the influence of cross-talk and improve the accuracy of measurement results. The experimental results show that the WOA-SVM algorithm has good robustness and generalization ability, and is an effective tool for cross-talk correction in multicomponent gas analysis.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingxue Bi, Handong Yu, Bingjie Hu, and Xufeng Wang "Support vector machine qualitative correction algorithm for multicomponent gases based on whale optimization algorithm", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130712X (28 February 2024); https://doi.org/10.1117/12.3025412

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available