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
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;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.553