Ambient Temperature Modelling through Traditional and Soft Computing Methods

Authors:
Francesco Ceravolo;Matteo Felice;Stefano Pizzuti
Affiliations:
E.N.E.A. --- Casaccia R.C., Rome, Italy 00123;E.N.E.A. --- Casaccia R.C., Rome, Italy 00123;E.N.E.A. --- Casaccia R.C., Rome, Italy 00123
Venue:
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Year:
2008

Citing 3
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Abstract

This paper presents a new hybrid approach based both on traditional and soft computing techniques to provide ambient temperature for those places where such a datum is not available. Indeed, we combine neural networks with the nearest neighbouring algorithm; we use a fuzzy logic decision maker and later compare the results of each single technique to the hybrid one. Experiments have been performed on several Italian places; results have shown a remarkable improvement in accuracy compared to single methods.