文献
J-GLOBAL ID:202202267296860584
整理番号:22A0562992
確率的作物収量予測のための深層ニューラルネットワークのBayesマルチモデリング【JST・京大機械翻訳】
Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction
著者 (5件):
Abbaszadeh Peyman
(Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
,
Gavahi Keyhan
(Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
,
Alipour Atieh
(Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
,
Deb Proloy
(Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
,
Moradkhani Hamid
(Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, USA)
資料名:
Agricultural and Forest Meteorology
(Agricultural and Forest Meteorology)
巻:
314
ページ:
Null
発行年:
2022年
JST資料番号:
C0901A
ISSN:
0168-1923
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)