Ambient temperature modelling through traditional and soft computing methods

Francesco Ceravolo, Matteo De Felice, Stefano Pizzuti

Research output: Contribution to conferencePaper

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. © 2008 Springer-Verlag.
Original languageEnglish
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 - , Spain
Duration: 1 Jan 2008 → …

Conference

Conference3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008
CountrySpain
Period1/1/08 → …

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ceravolo, F., De Felice, M., & Pizzuti, S. (2008). Ambient temperature modelling through traditional and soft computing methods. Paper presented at 3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, Spain. https://doi.org/10.1007/978-3-540-87656-4_40