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http://hdl.handle.net/10553/43955
Title: | Forecast of temperature using support vector machines | Authors: | Pérez-Vega, Abrahán Travieso, Carlos M. Hernández-Travieso, José G. Alonso, Jesus B. Dutta, Malay Kishore Singh, Anushikha |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Kernel Support vector machines Training Meteorology Testing, et al |
Issue Date: | 2017 | Journal: | Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 | Conference: | 2016 IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 | Abstract: | This paper proposes a prediction system to make a forecast of temperature which is based on support vector machines. The system uses a database which provides information about weather parameters such as pressure, temperature, wind speed, etc. In order to adapt the input data, the present proposal has applied a pre-processing method before the prediction phases start. The best testing results have reached a mean square error of 0.09°C. | URI: | http://hdl.handle.net/10553/43955 | ISBN: | 9781509016662 | DOI: | 10.1109/CCAA.2016.7813752 | Source: | Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2016 (7813752), p. 388-392 |
Appears in Collections: | Actas de congresos |
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