Ambient temperature modelling through traditional and soft computing methods

TitoloAmbient temperature modelling through traditional and soft computing methods
Tipo di pubblicazioneArticolo su Rivista peer-reviewed
Anno di Pubblicazione2008
AutoriCeravolo, F., De Felice Matteo, and Pizzuti S.
RivistaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5271 LNAI
Paginazione322-328
ISBN Number3540876553; 9783540876557
ISSN03029743
Parole chiaveAmbient temperatures, Artificial intelligence, Computer science, Fuzzy logic, Fuzzy neural networks, Fuzzy sets, Hybrid approach, Nearest neighbour algorithm, Soft computing, Soft computing methods, Softcomputing techniques, Temperature
Astratto

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.

Note

cited By 0; Conference of 3rd International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008 ; Conference Date: 24 September 2008 Through 26 September 2008; Conference Code:77542

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70449562774&doi=10.1007%2f978-3-540-87656-4_40&partnerID=40&md5=f116f7653a0fd41a42766ead048d4ee9
DOI10.1007/978-3-540-87656-4_40