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