A Novel Adjustment Method for Shearer Traction Speed through Integration of T-S Cloud Inference Network and Improved PSO
Joint Authors
Zhang, Lin
Si, Lei
Yang, Yinwei
Wang, Zhong-bin
Liu, Xin-hua
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-23
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In order to efficiently and accurately adjust the shearer traction speed, a novel approach based on Takagi-Sugeno (T-S) cloud inference network (CIN) and improved particle swarm optimization (IPSO) is proposed.
The T-S CIN is built through the combination of cloud model and T-S fuzzy neural network.
Moreover, the IPSO algorithm employs parameter automation adjustment strategy and velocity resetting to significantly improve the performance of basic PSO algorithm in global search and fine-tuning of the solutions, and the flowchart of proposed approach is designed.
Furthermore, some simulation examples are carried out and comparison results indicate that the proposed method is feasible, efficient, and is outperforming others.
Finally, an industrial application example of coal mining face is demonstrated to specify the effect of proposed system.
American Psychological Association (APA)
Si, Lei& Wang, Zhong-bin& Liu, Xin-hua& Yang, Yinwei& Zhang, Lin. 2014. A Novel Adjustment Method for Shearer Traction Speed through Integration of T-S Cloud Inference Network and Improved PSO. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034657
Modern Language Association (MLA)
Si, Lei…[et al.]. A Novel Adjustment Method for Shearer Traction Speed through Integration of T-S Cloud Inference Network and Improved PSO. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1034657
American Medical Association (AMA)
Si, Lei& Wang, Zhong-bin& Liu, Xin-hua& Yang, Yinwei& Zhang, Lin. A Novel Adjustment Method for Shearer Traction Speed through Integration of T-S Cloud Inference Network and Improved PSO. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034657
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034657