DocumentCode :
2752945
Title :
Neuronal prediction system of meteorological parameters for quality assurance of the traffic
Author :
Trandabat, A. ; Pislaru, M. ; Ciobanu, Romeo
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
549
Abstract :
This work tries to be an answer to the problem of the ice formations on the road and over the taking of landing ways surfaces. As we all know, the unpredicted apparition of the ice over the roads and in the airports is the main cause of the majority human and material looses in those two places. The neuronal prediction system wants to be an alternative to the existent forecasting systems. This system will combine the last moment technique like the networks, the software (Labview, Matlab) and the most modern programming approach: neuronal networks, neuro-fuzzy systems, statistical signal processing, and the result wants to be a prediction system for the ice formation which is very precise and less expensive than the existent systems.
Keywords :
neural nets; traffic engineering computing; weather forecasting; digital signal processing; distributed measurements; forecasting systems; ice formations; landing ways surfaces; meteorological parameters; neuro-fuzzy systems; neuronal networks; neuronal prediction system; statistical signal processing; traffic quality assurance; unpredicted ice apparition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems, 2003. SCS 2003. International Symposium on
Print_ISBN :
0-7803-7979-9
Type :
conf
DOI :
10.1109/SCS.2003.1227111
Filename :
5731344
Link To Document :
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