DAN Yuya    Department   Matsuyama University  Department of Informatics, Faculty of Informatics    Position   Professor
発行・発表の年月	2010/06
形態種別	学会報告
標題	A Study on the Prediction of Cherry Blossoms Bloom Date using Artificial Neural Networks
執筆形態	共著
掲載誌名	Proceedings of the 24th Annual Conference of JSAI, 2010
出版社・発行元	The Japanese Society for Artificial Intelligence
巻・号・頁	1-4頁
概要	The day of blooming for cherry blossoms is considered to depend on past temperature, sunshine duration, and liquid precipitation etc. Although the law or formulas are proposed that are based on experiences for the prediction, it is difficult to predict correctly the day of blooming for cherry blossoms every year. This paper introduces the result of the prediction of cherry blossoms blooming using artificial neural networks with past temperature data, then describes the efficiency and the limit of the prediction.