基于Müntz函数神经网络的分布式动态系统识别

TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services Pub Date : 2005-09-28 DOI:10.1109/TELSKS.2005.1572170

B. Dankovic, Z. Jovanovic, M. Milojković

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引用次数: 3

摘要

本文阐述了Muntz神经网络如何有效地用于线性和非线性动态系统的辨识。利用神经元构建局部分布动态的Muntz网络来识别动态过程的输入/输出模型。静态神经网络设计采用正交蒙兹多项式;对于动力部分，采用正交Muntz-Legendre有理函数

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Dynamic Systems Identification using Müntz Function Neural Networks with Distributed Dynamics

This paper illustrates how the Muntz neural networks can be used effectively for identification of linear and nonlinear dynamic systems. A neuron is utilized to build the Muntz networks with locally distributed dynamics to identify input/output models of dynamic processes. For static neural network design, the orthogonal Muntz polynomials are used; for dynamic part, the orthogonal Muntz-Legendre rational functions are used

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TELSIKS 2005 - 2005 uth International Conference on Telecommunication in ModernSatellite, Cable and Broadcasting Services

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