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Chebyshev神经网络辨识器
引用本文:邹阿金,沈洪远. Chebyshev神经网络辨识器[J]. 工矿自动化, 1998, 0(4)
作者姓名:邹阿金  沈洪远
作者单位:湘潭工学院自动化工程系,湘潭,411201
摘    要:基于逼近论,将一组Chebyshev正交多项式取代BP网络中的S型函数,构成一种新的神经网络模型。理论分析和仿真实验表明,该网络可逼近任意非线性系统,且建模容易,收敛速度快,学习次数远远少于BP网络。

关 键 词:正交多项式  神经网络  系统辨识

Identifier Based on Chebyshev Neural Network
Zou Ajing,Shen Hongyuan. Identifier Based on Chebyshev Neural Network[J]. Industry and Automation, 1998, 0(4)
Authors:Zou Ajing  Shen Hongyuan
Affiliation:Xiangtan 411201
Abstract:Based on the approximation theory, this paper presents a new neural network model based on Chebyshev orthogonal multinomial. By theoretical analysis and simulation experiments we show that the neural network has excellent performance of approximating nonlinear systems and the learning speed is high than BP networks.
Keywords:Orthogonal multinomial Neural network Identification  
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