2024-03-29T10:06:47Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1348942022-02-07T15:35:51Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
A Climatologycal Analysis by Means of Soft Computing Models
Arroyo Puente, Ángel
Corchado Rodríguez, Emilio Santiago
Tricio, Verónica
Computer Science
This research analyzes the meteorological conditions of four different places in Spain. The case study is based on real data provided by the AEMET (Meteorological Spanish Agency) in 2009. Thirteen variables with atmospheric conditions are considered. Different Statistical and Soft Computing Models are applied to show the great variability of the environmental conditions in the four well selected places. The results are confirmed by the Annual Environmental Summarized 2009 provided by the AEMET.
2017-09-06T09:14:36Z
2017-09-06T09:14:36Z
2017-09-06T09:14:36Z
2011
info:eu-repo/semantics/article
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 87, pp. 551-559.
978-3-642-19643-0 (Print) / 978-3-642-19644-7 (Online)
1867-5662 (Print) / 1867-5670 (Online)
http://hdl.handle.net/10366/134894
en
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported
Springer Science + Business Media