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 :
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