Multi-class fault diagnosis of BF based on global optimization LS-SVM
Aiming at the requirement of high speed and precision in blast furnace fault diagnosis systems, a new strategy based on global optimization least-squares support vector machines (LS-SVM) was proposed to solve this problem. Firstly, the variable metric discrete particle swarm optimization algorithm w...
Saved in:
| Main Authors: | ZHANG Hai-gang, ZHANG Sen, YIN Yi-xin |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2017-01-01
|
| Series: | 工程科学学报 |
| Subjects: | |
| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2017.01.005 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
There Search of LS-SVM Based on LMD Morphology Filter
by: MENG Liang, et al.
Published: (2022-02-01) -
Fault Diagnosis Method for Rolling Bearing based on Least Squares Mapping and SVM
by: Zhao Yu, et al.
Published: (2017-01-01) -
An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm
by: Nwayyin Mohammed, et al.
Published: (2025-06-01) -
Research on Fault Diagnosis of Traction Power Supply System Based on PSO-LSSVM
by: Lei ZHANG
Published: (2019-05-01) -
Control of a compliant gripper via least-squares support vector regression (LS-SVR) with particle swarm optimization (PSO) algorithm
by: Poonnapa Chaichudchaval, et al.
Published: (2025-12-01)