文章基本信息

标题：Identification of the non-linear systems using internal recurrent neural networks
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作者：Gheorghe PUSCASU ; Bogdan CODRES ; Alexandru STANCU 等
期刊名称：Annals of “Dunarea de Jos”
印刷版ISSN：1221-454X
出版年度：2006
卷号：2006
出版社：“Dunarea de Jos” University of Galati
摘要：In the past years utilization of neural networks took a distinct ampleness because of the following properties: distributed representation of information, capacity of generalization in case of uncontained situation in training data set, tolerance to noise, resistance to partial destruction, parallel processing. Another major advantage of neural networks is that they allow us to obtain the model of the investigated system, systems that is not necessarily to be linear. In fact, the true value of neural networks is seen in the case of identification and control of nonlinear systems. In this paper there are presented some identification techniques using neural networks.
关键词：Identification, recurrent neural networks, training.