A linguistic method of a neuro-fuzzy adaptive filte for online maneuvering target tracking

被引：0
|
作者：
Menhaj, MB [1 ]
Amani, S [1 ]
机构：
[1] Amirkabir Univ, Dept Elect Engn, Tehran, Iran
来源：
IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2001年
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：
The main goal in this paper is to show how one may design a nonlinear adaptive filter with online structure and parameter learning capability well-suited for nonlinear filtering and tracking of systems using neurofuzzy.concepts. The performance of the filter has been tested on a maneuvering target tracking problem and compared with some those of Interacting Multiple Mode algorithms. The results are promising.
引用
收藏
页码：605 / 610
页数：6
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