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Model identification of time-delay nonlinear system with FIR neural network

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2 Author(s)
Li-Feng Wang ; Field Bus Tech & Autom. Lab, North China Univ. of Technol., Beijing, China ; Zheng-Xi Li

The FIR neural network model and its temporal backpropagation algorithm are introduced in this paper. Due to its time-delay dynamic characteristics, it is fit well to be applied to model identification of the time-delay nonlinear system. Model identification has been completed successfully on actual datasets of 6 stands tandem hot mill with FIR neural network, and the results show its good characteristics.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:2 )

Date of Conference:

2-5 Nov. 2003

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