Hybrid Simulated Annealing Particle Swarm Optimization Support Vector Machine Based Temperature-Pressure Error Compensation Approach for TDLAS Gas Detection-Reference-Cited by-同舟云学术

Hybrid Simulated Annealing Particle Swarm Optimization Support Vector Machine Based Temperature-Pressure Error Compensation Approach for TDLAS Gas Detection

Published:2023-04-13 Issue: Volume: Page:1-18
ISSN:0010-2202
Container-title:Combustion Science and Technology
language:en
Short-container-title:Combustion Science and Technology

Author:

Wang Weifeng¹²,Liu Hanfei¹²,Wei Gaoming¹²^ORCID,Liang Ce¹²,Zhai Xiaowei¹²,Yang Bo¹²,Ren Lifeng¹²,Li Gaoshuang³

Affiliation:

1. School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi, China

2. Key Laboratory of Mine and Disaster Prevention and Control of Ministry of Education, Xi’an University of Science and Technology, Xi’an, Shaanxi, PR China

3. College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an, Shaanxi, China

Funder

National Natural Science Foundation of China

National Key R & D Plan of China

Yulin Science and Technology Plan Project

Xi’an Science and Technology Plan Project

Shaanxi key R & D Plan Project

Science and Technology Fund for outstanding young people of Xi’an University of Science and Technology

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00102202.2023.2202320

Reference24 articles.

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2. Simulated Annealing

3. Delahaye, D., S. Chaimatanan, and M. Mongeau. 2019. Simulated annealing: From basics to applications[M]//Handbook of metaheuristics, 1–35. Springer, Cham.

4. Modified laser scanning technique in wavelength modulation spectroscopy for advanced TDLAS gas sensing