文献
J-GLOBAL ID:202202246476058178
整理番号:22A0947143
ハイブリッドカスケード予測モデルと遺伝的アルゴリズムを用いた共堆肥化プロセスにおける窒素損失の予測と最適化【JST・京大機械翻訳】
Prediction and optimization of nitrogen losses in co-composting process by using a hybrid cascaded prediction model and genetic algorithm
著者 (4件):
Kabak Elif Tugce
(Department of Environmental Engineering, Faculty of Engineering, Ondokuz Mayis University, Samsun 55200, Turkey)
,
Cagcag Yolcu Ozge
(Department of Statistics, Faculty of Sciences and Arts, Marmara University, Istanbul 34722, Turkey)
,
Aydin Temel Fulya
(Department of Environmental Engineering, Faculty of Engineering, Giresun University, Giresun 28200, Turkey)
,
Turan Nurdan Gamze
(Department of Environmental Engineering, Faculty of Engineering, Ondokuz Mayis University, Samsun 55200, Turkey)
資料名:
Chemical Engineering Journal
(Chemical Engineering Journal)
巻:
437
号:
P2
ページ:
Null
発行年:
2022年
JST資料番号:
D0723A
ISSN:
1385-8947
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)