文献
J-GLOBAL ID:201702213543564136
整理番号:17A0373951
ウェーブレットニューラルネットワークを用いたシャワー冷却塔の性能予測【Powered by NICT】
Performance prediction of a shower cooling tower using wavelet neural network
著者 (5件):
Qi Xiaoni
(College of Traffic and Vehicle Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo 255049, China)
,
Liu Yongqi
(College of Traffic and Vehicle Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo 255049, China)
,
Guo Qianjian
(College of Mechanical Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo 255049, China)
,
Yu Shanshan
(College of Mechanical Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo 255049, China)
,
Yu Jie
(College of Mechanical Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo 255049, China)
資料名:
Applied Thermal Engineering
(Applied Thermal Engineering)
巻:
108
ページ:
475-485
発行年:
2016年
JST資料番号:
E0667B
ISSN:
1359-4311
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)