DocumentCode :
189766
Title :
Anthropogenic situation express monitoring on the base of the fuzzy neural networks
Author :
Kolesenkov, Alexandr ; Kostrov, Boris ; Ruchkina, Ekaterina ; Ruchkin, Vladimir
Author_Institution :
Ryazan State Radio Engineering University Ryazan, Russian Federation
fYear :
2014
fDate :
15-19 June 2014
Firstpage :
166
Lastpage :
168
Abstract :
The article is devoted to reducing the risk of decision-making on the natural and manmade critical emergency prevention by means of specialized processing of remote earth sensing data on the basis of neural fuzzy inference networks. The fire monitoring and predicting algorithm based on the spectrum processing of the satellite images is suggested. The operability testing of the suggested technology was conducted on the base of NM640X neuroprocessor.
Keywords :
Earth; Fires; Fuzzy neural networks; Heuristic algorithms; Monitoring; Neural networks; Prediction algorithms; Monitoring; clustering; emergency; equivalence classes; fire; fuzzy clustering; neural networks; the information system; the warning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
Conference_Location :
Budva, Montenegro
Print_ISBN :
978-1-4799-4827-7
Type :
conf
DOI :
10.1109/MECO.2014.6862684
Filename :
6862684
Link To Document :
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