DocumentCode
354238
Title
Research on applications of three layers neural network in dynamic modeling of jig system
Author
Ming, Li ; Dunwei, Gong ; Shifan, Xu
Author_Institution
Coll. of Inf. & Electr. Eng., China Univ. of Mining & Technol., Xuzhou, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1176
Abstract
The recurrent neural network has strong dynamic approximating capability. It can be used to describe a kind of complex nonlinear time-varying dynamic system. In the paper a model of a three layer recurrent neural network is proposed. The dynamic backpropagation method is put forth to train the weights of the network. Simulation shows the model has good performance in approximating dynamic systems
Keywords
multilayer perceptrons; nonlinear dynamical systems; recurrent neural nets; complex nonlinear time-varying dynamic system; dynamic backpropagation method; dynamic modeling; jig system; strong dynamic approximating capability; three layer recurrent neural network; Educational institutions; Intelligent networks; Neural networks; Nonlinear dynamical systems; Recurrent neural networks;
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.2000.863427
Filename
863427
Link To Document