非等温CSTR的RBF神经网络建模

2011 Fourth International Conference on Modeling, Simulation and Applied Optimization Pub Date : 2011-04-19 DOI:10.1109/ICMSAO.2011.5775525

Seyed Mohammad Attaran, S. Abdullah

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引用次数: 2

摘要

本文简要介绍了径向基函数及其性质。此外，采用RBF神经网络对非等温CSTR进行估计。为了实现这一目标，由于没有衬里数据，每次新数据进入系统时都必须使用RLS。通过这种方法(RLS)， RBF神经网络更新其权值来映射系统的输入和输出。

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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Modeling of non isothermal CSTR with the method of RBF NN

In this paper we provide a short review of radial basis function (RBF) and its properties. In addition RBF NN was used to estimate the non-Isothermal CSTR. For achieving this goal because of on lining data it was necessary to use the RLS each time that new data come to system. By using this method (RLS), RBF NN updates its weights for mapping the input and output of the system.

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2011 Fourth International Conference on Modeling, Simulation and Applied Optimization

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