期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：6
页码：142-147
出版社：International Journal of Computer Science and Network Security
摘要：The construction of a parameter (or state) estimator can be basically considered as a function approximation problem. To design an estimator, it is first necessary, to obtain the training data set ��G�� such that, this training data set contains as much information as possible about a system ��g��. Once trained properly, the estimator will adaptively follow the slope of ��g�� at all times. In this paper, signals are processed in real time and combined with previous monitoring data to estimate, using the neural network, the process variable level in a nonlinear process control plant.
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