Inverse Modeling of Nonlinear Systems and Application

Jianping Wei; Huade Li; Datai Yu

Volume 6 Issue 4

Dec. 1999

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 1999 > 6(4): 302-305

Jianping Wei, Huade Li, and Datai Yu, Inverse Modeling of Nonlinear Systems and Application, J. Univ. Sci. Technol. Beijing, 6(1999), No. 4, pp. 302-305.

Cite this article as:

Jianping Wei, Huade Li, and Datai Yu, Inverse Modeling of Nonlinear Systems and Application, J. Univ. Sci. Technol. Beijing, 6(1999), No. 4, pp. 302-305.

Jianping Wei, Huade Li, and Datai Yu, Inverse Modeling of Nonlinear Systems and Application, J. Univ. Sci. Technol. Beijing, 6(1999), No. 4, pp. 302-305.

Citation:

Jianping Wei, Huade Li, and Datai Yu, Inverse Modeling of Nonlinear Systems and Application, J. Univ. Sci. Technol. Beijing, 6(1999), No. 4, pp. 302-305.

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Inverse Modeling of Nonlinear Systems and Application

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Received: 21 January 1999

Abstract

Abstract

Inverse modeling is discussed based on neural networks. U-D factorization Kalman filter learning algorithm is introduced to train a feed forward multilayer neural network, which is used as inverse models. A scheme of Direct Current Electric Arc Furnace (DC EAF) control systems using Neural Networks (NN) is presented.
- neural network;
- modeling;
- control;
- DC EAF