两种神经网络用于解决线性系统辨识问题

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.374752

J. B. Galván, M. J. Pérez-Ilzarbe

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引用次数: 10

摘要

作者改编了两种标准网络，多层感知器和Hopfield，以便将它们用于线性系统识别问题。给出了一种系统的研究传递函数阶数和时滞的方法。给出了仿真和实际数据的一些结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Two neural networks for solving the linear system identification problem

The authors have adapted two standard networks, multilayer perceptron and Hopfield, in order to use them for the linear systems identification problem. A systematic method for the study of the order and the delay of the transfer function is explained. Some results using simulated and real data are presented.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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