文献
J-GLOBAL ID:201802274208537929
整理番号:18A0289567
インターネット上の気象データを用いたニューラルネットワークに基づく地域降雨予測システム日本気象庁のデータを用いた事例研究【Powered by NICT】
A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency
著者 (7件):
Kashiwao Tomoaki
(Department of Electronics and Control Engineering, National Institute of Technology, Niihama College, 7-1 Yagumo-cho, Niihama, Ehime 792-8580, Japan)
,
Kashiwao Tomoaki
(School of Environment, Science and Engineering, Southern Cross University, P.O. Box 157, Lismore, NSW 2480, Australia)
,
Nakayama Koichi
(Department of Electronics and Control Engineering, National Institute of Technology, Niihama College, 7-1 Yagumo-cho, Niihama, Ehime 792-8580, Japan)
,
Ando Shin
(Graduate School of Science and Engineering, Ehime University, 3, Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan)
,
Ikeda Kenji
(Graduate School of Institute of Technology and Science, Tokushima University, 2-1 Minamijosanjima-cho, Tokushima 770-8506, Japan)
,
Lee Moonyong
(School of Chemical Engineering, Yeungnam University, Dae-dong 214-1, Gyeongsan 712-749, Republic of Korea)
,
Bahadori Alireza
(School of Environment, Science and Engineering, Southern Cross University, P.O. Box 157, Lismore, NSW 2480, Australia)
資料名:
Applied Soft Computing
(Applied Soft Computing)
巻:
56
ページ:
317-330
発行年:
2017年
JST資料番号:
W2175A
ISSN:
1568-4946
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)