Title :
Nonlinear dynamic system identification with dynamic recurrent neural networks
Author :
Calderon, Gustavo ; Draye, Jean-Philippe ; Pavisic, Davor ; Teran, Roberto ; Libert, Gaëtan
Author_Institution :
Mons Univ., Belgium
Abstract :
We work with the dynamical recurrent neural network as a tool for system identification. We train this network using a time-dependent back-propagation learning algorithm and we show that for modeling a nonlinear dynamical system, our neural device has good performance for interpolation and extrapolation, and is very robust in the presence of noise
Keywords :
backpropagation; extrapolation; identification; interpolation; nonlinear dynamical systems; recurrent neural nets; dynamic recurrent neural networks; extrapolation; interpolation; neural device; noise; nonlinear dynamic system identification; nonlinear dynamical system; time-dependent back-propagation learning algorithm; Interpolation; Laboratories; Neural networks; Noise robustness; Nonlinear dynamical systems; Power system modeling; Recurrent neural networks; Surges; System identification; Voltage;
Conference_Titel :
Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, 1996. Proceedings., International Workshop on
Conference_Location :
Venice
Print_ISBN :
0-8186-7456-3
DOI :
10.1109/NICRSP.1996.542744
