文献
J-GLOBAL ID:201702236594117633
整理番号:17A0914148
aritficialニューラルネットワークデータマイニングツールを用いたバングラデシュの異なる気象位置の月太陽放射の予測のためのモデル【Powered by NICT】
A model for prediction of monthly solar radiation of different meterological locations of Bangladesh using aritficial neural network data mining tool
著者 (6件):
Abedin Zainal
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
,
Barua Mishuk
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
,
Paul Sukanta
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
,
Akther Sharmin
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
,
Chowdhury Riku
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
,
Chowdhury Md. Sarwar Uddin
(Faculty of Science, Engineering and Technology, University of Science & Technology Chittagong - 1079, Bangladesh)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ECCE
ページ:
692-697
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)