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ABSTRACT
The Forecast system predicts the temperature of road surfaces, using a neural net with back propagation learning algorithms and online parameter tuning. Forecast is a part of Icenet, a road-surface monitoring system installed on part of the Italian highway network. Icenet consists of a set of stations with specialized sensors. The stations, placed in the most critical zones, are connected via modem to a central station, which receives the data and forecasts temperature changes. If the temperature drops below zero, Icenet warns the system's operators.
INDEX TERMS
adaptive learning, environmental application, neural networks, time-series forecasting, weather forecasting.
CITATION

F. Francini, S. Manetti and A. Luchetta, "Forecast: A Neural System for Diagnosis and Control of Highway Surfaces," in IEEE Intelligent Systems, vol. 13, no. , pp. 20-26, 1998.
doi:10.1109/5254.683177
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