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.
Information Engineering school, University of Science and Technology Beijing, Beijing 1 00083, China
中文摘要
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.
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.
下载: