TY - GEN
T1 - Research on NFE model of multi-sensor information fusion
AU - Tiantian, Fan
AU - Hua, Zong
AU - Changjun, Yu
AU - Mei, Liu
AU - Taifan, Quan
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/62949228551
U2 - 10.1109/IITA.2008.553
DO - 10.1109/IITA.2008.553
M3 - 会议稿件
AN - SCOPUS:62949228551
SN - 9780769534978
T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
SP - 394
EP - 398
BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Y2 - 21 December 2008 through 22 December 2008
ER -