文献
J-GLOBAL ID:201902250421710762
整理番号:19A1780841
機械学習アプローチによる建築環境における高齢者の熱感覚の予測:モデリング,解釈,応用【JST・京大機械翻訳】
Predicting older people’s thermal sensation in building environment through a machine learning approach: Modelling, interpretation, and application
著者 (9件):
Wang Zi
(School of Mechanical and Energy Engineering, Tongji University, Shanghai, 201804, China)
,
Wang Zi
(Center for the Built Environment, University of California, Berkeley, CA94720, USA)
,
Yu Hang
(School of Mechanical and Energy Engineering, Tongji University, Shanghai, 201804, China)
,
Yu Hang
(Key Laboratory of Ecology and Energy Saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai, 201804, China)
,
Luo Maohui
(School of Mechanical and Energy Engineering, Tongji University, Shanghai, 201804, China)
,
Luo Maohui
(Center for the Built Environment, University of California, Berkeley, CA94720, USA)
,
Wang Zhe
(Lawrence Berkeley National Laboratory, Berkeley, CA94720, USA)
,
Zhang Hui
(Center for the Built Environment, University of California, Berkeley, CA94720, USA)
,
Jiao Yu
(School of Mechanical and Energy Engineering, Tongji University, Shanghai, 201804, China)
資料名:
Building and Environment
(Building and Environment)
巻:
161
ページ:
Null
発行年:
2019年
JST資料番号:
C0858A
ISSN:
0360-1323
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)