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Comparison of the traditional and the neural networks approaches in a stochastic nonlinear system identification

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2 Author(s)
Kil To Chong ; Chon Buk Nat. Univ., South Korea ; Parlos, A.G.

The comparison between the neural networks and traditional approaches as a nonlinear system identification method is investigated in the aspects of the models' performance. Two neural networks models which are of the state space and the input/output model structures are considered as neural networks models. In the traditional methods an autoregressive exogeneous input model and a nonlinear autoregressive exogeneous input model are considered

Published in:

American Control Conference, 1997. Proceedings of the 1997  (Volume:2 )

Date of Conference:

4-6 Jun 1997