DocumentCode
2264383
Title
Research on NFE Model of Multi-Sensor Information Fusion
Author
Fan, Tiantian ; Zong, Hua ; Yu, Changjun ; Liu, Mei ; Quan, Taifan
Author_Institution
Res. Inst. of Electron. Eng. Technol., Harbin
Volume
2
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
394
Lastpage
398
Abstract
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.
Keywords
expert systems; fuzzy reasoning; neural nets; object recognition; sensor fusion; NFE model; confidence estimator; expert system; fuzzy reasoning; multisensor information fusion; neural network; target recognition; Artificial intelligence; Expert systems; Fuzzy neural networks; Fuzzy reasoning; Humans; Intelligent sensors; Neural networks; Sensor phenomena and characterization; Sensor systems; State estimation; expert system; fuzzy reasoning; information fusion; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.553
Filename
4739793
Link To Document