期刊论文、会议论文

Qin, Ling

中文

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

2012

2566-2569

10th World Congress on Intelligent Control and Automation (WCICA)

JUL 06-08, 2012

Beijing, PEOPLES R CHINA

[Qin, Ling] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan, Peoples R China.

Chinese Acad Sci, Acad Math & Syst Sci, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Natl Nat Sci Fdn China, Chinese Assoc Automat, Chinese Assoc Artificial Intelligence, IEEE RACS Hong Kong Chapter, IEEE Control Syst Soc Beijing Chapter, IEEE Control Syst Soc Singapore Chapter

Cheng, D

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-4673-1398-8

10.1109/WCICA.2012.6358305

本校为第一且通讯机构

Considering the characteristics of the nonlinear, complexity and relativity of the sintering burden system, the prediction model of sintering burden is established by BP neural network. In addition, a new optimization method of the sintering experiment is proposed, based on information entropy and chaotic improved particle swarm algorithm. The initial particle colony is produced by information entropy to increase the variety of the initial colony. The strategy of dynamic nonlinear adjustment is used for the inertia weight in this paper according to the iteration times, so as to improve the alg...