Removal of Sulfur Dioxide in Flue Gas Using Invasive Weed Optimization–Based Control Method-Reference-Cited by-同舟云学术

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Removal of Sulfur Dioxide in Flue Gas Using Invasive Weed Optimization–Based Control Method

Published:2024-03 Issue:3 Volume:150 Page:
ISSN:0733-9372
Container-title:Journal of Environmental Engineering
language:en
Short-container-title:J. Environ. Eng.

Author:

Liu Quanbo¹^ORCID,Li Xiaoli²^ORCID,Wang Kang³^ORCID

Affiliation:

1. Ph.D. Student, Faculty of Information Technology, Beijing Univ. of Technology, No. 100, Pingleyuan St., Chaoyang District, Beijing 100124, China. ORCID: .

2. Professor, Faculty of Information Technology, Beijing Univ. of Technology, No. 100, Pingleyuan St., Chaoyang District, Beijing 100124, China (corresponding author). ORCID: .

3. Lecturer, Faculty of Information Technology, Beijing Univ. of Technology, No. 100, Pingleyuan St., Chaoyang District, Beijing 100124, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Civil and Structural Engineering,Environmental Chemistry,Environmental Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JOEEDU.EEENG-7476

Reference39 articles.

1. Nonlinear and Adaptive Control with Applications

2. Issues in the application of neural networks for tracking based on inverse control

3. Nonlinear adaptive control using neural networks and multiple models

4. Chen L. and K. S. Narendra. 2002. “Intelligent control using neural networks and multiple models.” In Proc. 41st IEEE Conf. on Decision and Control 1357–1362. New York: IEEE.

5. Selective inference for k-means clustering;Chen Y. T.;J. Mach. Learn. Res.,2023

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