Prediction of seasonal temperature using soft computing techniques: application in Benevento (Southern Italy) area
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- 作者：Salvatore Rampone ; Alessio Valente
- 关键词：Seasonal temperature forecasting ; Soft computing ; Artificial neural networks ; Genetic programming ; Southern Italy
- 刊名：Journal of Ambient Intelligence and Humanized Computing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：8
- 期：1
- 页码：147-154
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; User Interfaces and Human Computer Interaction;
- 出版者：Springer Berlin Heidelberg
- ISSN：1868-5145
- 卷排序：8
文摘
In this work two soft computing methods, Artificial Neural Networks and Genetic Programming, are proposed in order to forecast the mean air temperature that will occur in future seasons. The area in which the soft computing techniques were applied is that of the surroundings of the town of Benevento, in the south of Italy, having the geographic coordinates (lat. \(41^{\circ }07^{\prime }50^{\prime \prime }\mathrm{N}\); long. \(14^{\circ }47^{\prime }13^{\prime \prime }\mathrm{E}\)). This area is not affected by maritime influences as well as by winds coming from the west. The methods are fed by data recorded in the meteorological stations of Benevento and Castelvenere, located in the hilly area, which characterizes the territory surrounding this city, at 144 m a.s.l. Both the applied methods show low error rates, while the Genetic Programming offers an explicit rule representation (a formula) explaining the prevision.