Neuronal prediction system of meteorological parameters for quality assurance of the traffic

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.