Modeling NOx emission of coal-fired boiler with differential evolution optimized least square support vector machine

Author(s):  
Zhenhao Tang ◽  
Haiyang Zhang
2013 ◽  
Vol 791-793 ◽  
pp. 912-916 ◽  
Author(s):  
Zi Pin Li ◽  
Hui Peng

Least square support vector machine (LS-SVM) can solve small sample, high-dimensional and non-linear multi-classification problem well, so it is applicable to the power transformer fault diagnosis. However, the parameters of LS-SVM have significant effect on the classification results.In this paper, the adaptive differential evolution algorithm (ADE) is applied to optimize the parameters of LS-SVM. The scaling factor and crossover rate are adjusted dynamically in the whole evolution process, so the robustness of the algorithm is improved greatly. The optimized LS-SVM is applied to fault diagnosis of power transformer, the results obtained demonstrate superiority of the proposed approach.


2020 ◽  
Vol 53 (2) ◽  
pp. 13976-13981
Author(s):  
Masoud Aliramezani ◽  
Armin Norouzi ◽  
Charles Robert Koch

Sign in / Sign up

Export Citation Format

Share Document