Research on NFE Model of Multi-Sensor Information Fusion

被引:1
|
作者
Fan, Tiantian [1 ]
Zong, Hua [1 ]
Yu, Changjun [1 ]
Liu, Mei [1 ]
Quan, Taifan [1 ]
机构
[1] Harbin Inst Technol, Res Inst Elect Engn Technol, Harbin 150001, Peoples R China
关键词
D O I
10.1109/IITA.2008.553
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To study information fusion method under complex environment, a highly intelligent information fusion model is put forward- the NFE model. This model is an organic combination of neural network, fuzzy reasoning and expert system. Considering various factors which influence the performance of sensor, the NFE confidence estimator is presented from the engineering application point of view This paper presents principles, frameworks as well as key algorithms of the NFE model, and makes a comparison between the NFE model and traditional fuzzy neural network model. Simulation experiments prove that the NFE model can realize target recognition more effectively against sensor failures and strong interference, and the results are more reliable.
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页码:394 / 398
页数:5
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