DocumentCode :
2613907
Title :
Intelligent processing algorithm of testing the dangerous situation
Author :
Xichuan, Lin ; Yingying, Ren
Author_Institution :
Network Manage. Center, Henan Polytech. Inst., Nanyang, China
Volume :
5
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
2540
Lastpage :
2544
Abstract :
In real life, we can judge many dangerous situation whether it happens or not according to the analysis of some signals, thus to avoid heavy losses. First this paper introduces the advantages of using Multi-sensor. After the signal pretreatment, the output of these sensors combine with knowledge expression ability of fuzzy control and self-learning adaptive ability of neural network, and then be used to the research of indoors status by combining these technology and computer technology. The purposes of the study is to increase the intellectualized degree of detection, raise the system detection rate and fall the error alarm rate when the dangerous conditions appeard. At last, through an example, use matlab simulation to verify the reliability of this method.
Keywords :
fuzzy control; fuzzy neural nets; learning (artificial intelligence); sensor fusion; dangerous situation testing; error alarm rate; fuzzy control; intelligent processing algorithm; knowledge expression ability; multisensor system; neural network; self-learning adaptive ability; signal pretreatment; Biological neural networks; Fires; Fuzzy control; Fuzzy neural networks; Mathematical model; Neurons; Sensors; Multi-sensor; fuzzy control; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100775
Filename :
6100775
Link To Document :
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