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Identification of Duffing’s equation with dynamic recurrent neural network. (English) Zbl 1084.68686
Wang, Jun (ed.) et al., Advances in neural networks – ISNN 2005. Second international symposium on neural networks, Chongqing, China, May 30 – June 1, 2005. Proceedings, Part II. Berlin: Springer (ISBN 3-540-25913-9/pbk). Lecture Notes in Computer Science 3497, 454-459 (2005).
Summary: In this paper, the identification of Duffing’s equation by dynamic recurrent neural network (DRNN) is discussed. It is assumed that only states of the Duffing’s equation are available and the system is taken as a black box. It is shown that the DRNN can model the dynamics of the Duffing’s equation. A numerical example indicates that the forced training method can be used to train the DRNN.
For the entire collection see [Zbl 1073.68014].
MSC:
68T05 Learning and adaptive systems in artificial intelligence
92B20 Neural networks for/in biological studies, artificial life and related topics
93A30 Mathematical modelling of systems (MSC2010)
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