Evolutionary Feed-forward Neural Networks for Traffic Prediction
نویسندگان
چکیده
In this paper we show different evolutionary algorithms in order to optimise on-line weights of feed-forward neural networks when applied to short term (20 min.) urban traffic prediction. We compare the evolutionary methods with the classical back-propagation algorithm and we show results when weights are off-line and on-line evolved. Preliminary results are very promising and show the effectiveness of the proposed approach in order to get neural models capable to dynamically adapt to environmental changes. M. Annunziato, I. Bertini, A. Pannicelli, S. Pizzuti
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