Nonlinear filtering design using dynamic neural networks with fast training

被引：0
|
作者：
Becerikli, Y [1 ]
机构：
[1] Kocaeli Univ, Dept Comp Engn, Izmit, Turkey
来源：
COMPUTER AND INFORMATION SCIENCES - ISCIS 2003 | 2003年 / 2869卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents nonlinear filtering using dynamic neural networks (DNNs). In addition, the general usage of linear filtering structure is given. DNN which has a quasi-linear structure has been effectively used as a filter with fast training algorithm such as Levenberg-Marquardt method. The test results are shown that the performance of DNN as linear and nonlinear filters is satisfactory.
引用
收藏
页码：601 / 610
页数：10
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