文献
J-GLOBAL ID:201702238449513272
整理番号:17A1624806
異なる深さでの短期土壌温度を予測するためのウェーブレットニューラルネットワークと遺伝子発現プログラミングモデル【Powered by NICT】
Wavelet neural networks and gene expression programming models to predict short-term soil temperature at different depths
著者 (8件):
Samadianfard Saeed
(Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran)
,
Asadi Esmaeil
(Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran)
,
Jarhan Salar
(Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran)
,
Kazemi Honeyeh
(Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran)
,
Kheshtgar Salar
(Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran)
,
Kisi Ozgur
(Ilia State University, Faculty of Natural Sciences and Engineering, Tbilisi, Georgia)
,
Sajjadi Shahin
(Department of Construction Management, University of Houston, Houston, TX, USA)
,
Manaf Azizah Abdul
(Advanced Informatics School, Universiti Teknologi Malaysia, Malaysia)
資料名:
Soil & Tillage Research
(Soil & Tillage Research)
巻:
175
ページ:
37-50
発行年:
2018年
JST資料番号:
E0854B
ISSN:
0167-1987
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)