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.
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Ceravolo, F., De Felice, M., Pizzuti, S. (2008). Ambient Temperature Modelling through Traditional and Soft Computing Methods. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_40
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DOI: https://doi.org/10.1007/978-3-540-87656-4_40
Publisher Name: Springer, Berlin, Heidelberg
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