DocumentCode :
2429611
Title :
Sensor management based on IFFNN
Author :
Chen Yong ; Liu Xia ; Cheng Yu-hua ; Zhang Chang-hua
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
311
Lastpage :
314
Abstract :
For sensor management of hierarchy multi-sensor information fusion system, a sensor management method based on immunity fuzzy feedback neural network(IFFNN) is proposed in the paper. The method introduces immune algorithm to enhance fault-tolerance of sensor fault system and utilizes fuzzy algorithm and self-learning of neural network to enhance self-adaptation of system. Experiments and analysis show that the proposed method is an effective method to manage sensor.
Keywords :
fault tolerance; fuzzy neural nets; recurrent neural nets; sensor fusion; fault tolerance; immune algorithm; immunity fuzzy feedback neural network; self-adaptation; self-learning; sensor fault system; sensor management; Conference management; Fault tolerance; Fuzzy neural networks; Immune system; Neural networks; Sensor fusion; Sensor systems; Signal processing algorithms; Technology management; Vaccines; Feedback neural network; Fuzzy; Immunity algorithm; Sensor management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590363
Filename :
4590363
Link To Document :
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