文献
J-GLOBAL ID:201802263887445621
整理番号:18A0328903
温度データのみによる極端学習機械と一般化回帰神経回路網を用いた基準蒸発散量のモデル化【Powered by NICT】
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data
著者 (5件):
Feng Yu
(State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu, China)
,
Peng Yong
(State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu, China)
,
Cui Ningbo
(State Key Laboratory of Hydraulics and Mountain River Engineering & College of Water Resource and Hydropower, Sichuan University, Chengdu, China)
,
Gong Daozhi
(State Engineering Laboratory of Efficient Water Use of Crops and Disaster Loss Mitigation/MOA Key Laboratory of Dryland Agriculture, Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agriculture Sciences, Beijing, China)
,
Zhang Kuandi
(College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, China)
資料名:
Computers and Electronics in Agriculture
(Computers and Electronics in Agriculture)
巻:
136
ページ:
71-78
発行年:
2017年
JST資料番号:
T0337A
ISSN:
0168-1699
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)