A NOVEL ALGORITHM FOR SYSTEM IDENTIFICATION AND MODELING

Abstract

This paper was a research on the identification of linear and nonlinear systems on basis of function approximation. The identification equation was given. The neural network model of systems have been proposed. The optimal learning algorithm for neural network was constructed. Computer simulation shows that the new algorithm has better approximation, generalization and convergence property.
- system identification,
- system modeling,
- optimal algorithm

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1 李岳生.样条函数方法.国防工业出社,1980
2 A Kzzyzak.Noparametrric Estimation and Classification Using Radial Basis Function Nets and Empirrial Risk Minimazation" IEEE NN 1996,7(2):475～487
3 王学智.优化二次函数与共轭梯度算法.陕西工学院学报,1992,4(1)
4 Chi C,Chi W T.Recursive SMLR Deconvolution Algorithm for Bernouli-Gaussian Singnal' IEE Proceeding-F jun,1991,138(3):363～366
5 赵振于等.模糊理论和神经网络基础与应用.清华大学出版社,1996

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A NOVEL ALGORITHM FOR SYSTEM IDENTIFICATION AND MODELING

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