文献
J-GLOBAL ID:202102217473255378
整理番号:21A0522245
人工ニューラルネットワークと人工蜂コロニーアルゴリズムのハイブリッドを用いた赤いおいしいリンゴの成分特性の推定【JST・京大機械翻訳】
Estimation of the Constituent Properties of Red Delicious Apples Using a Hybrid of Artificial Neural Networks and Artificial Bee Colony Algorithm
著者 (6件):
Abbaspour-Gilandeh Yousef
(Department of Biosystems Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran)
,
Sabzi Sajad
(Department of Biosystems Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil 56199-11367, Iran)
,
Benmouna Brahim
(Computer Science and Systems Department, University of Murcia, 30100 Murcia, Spain)
,
Garcia-Mateos Gines
(Computer Science and Systems Department, University of Murcia, 30100 Murcia, Spain)
,
Hernandez-Hernandez Jose Luis
(Division of Research and Graduate Studies, TecNM/Technological Institute of Chilpancingo, Chilpancingo, Guerrero 39070, Mexico)
,
Molina-Martinez Jose Miguel
(Food Engineering and Agricultural Equipment Department, Technical University of Cartagena, 30203 Cartagena, Spain)
資料名:
Agronomy (Web)
(Agronomy (Web))
巻:
10
号:
2
ページ:
267
発行年:
2020年
JST資料番号:
U7129A
ISSN:
2073-4395
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)