| Title | Ambient temperature modelling through traditional and soft computing methods |
|---|---|
| Publication Type | Articolo su Rivista peer-reviewed |
| Year of Publication | 2008 |
| Authors | Ceravolo, F., De Felice Matteo, and Pizzuti S. |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 5271 LNAI |
| Pagination | 322-328 |
| ISBN Number | 3540876553; 9783540876557 |
| ISSN | 03029743 |
| Keywords | Ambient 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 |
| 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. |
| Notes | 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 |
| URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449562774&doi=10.1007%2f978-3-540-87656-4_40&partnerID=40&md5=f116f7653a0fd41a42766ead048d4ee9 |
| DOI | 10.1007/978-3-540-87656-4_40 |
| Citation Key | Ceravolo2008322 |
