DocumentCode
354232
Title
Research on application of recurrent neural network in modelling jigging system of coal preparation plant
Author
Gong, Dunwei ; Xu Shifan ; Wang, Xuesong
Author_Institution
Center on Coal Min. CIMS & Robotics Res., China Univ. of Min. & Technol., Xuzhou, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1147
Abstract
Recurrent neural network can describe complex nonlinear time-varying dynamic system. In this paper, model and unified mathematical description of recurrent neural network are presented. The BP algorithm to train this network is also presented. Finally, this network is applied to model jigging system of coal preparation plant. An example shows that this network has strong capability in dynamic approach
Keywords
backpropagation; coal; large-scale systems; mineral processing industry; nonlinear dynamical systems; recurrent neural nets; time-varying systems; BP algorithm; coal preparation plant; complex nonlinear time-varying dynamic system; jigging system modelling; recurrent neural network; Computer integrated manufacturing; Intelligent networks; Mathematical model; Neural networks; Nonlinear dynamical systems; Recurrent neural networks; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863421
Filename
863421
Link To Document