DAN Yuya    Department   Matsuyama University  Department of Business Administration, Faculty of Business Administration    Position   Professor
Publication Date	2010/06
Type
Title	A Study on the Prediction of Cherry Blossoms Bloom Date using Artificial Neural Networks
Contribution Type
Journal	Proceedings of the 24th Annual Conference of JSAI, 2010
Publisher	The Japanese Society for Artificial Intelligence
Volume, Issue, Pages	1-4頁
Details	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.