文献
J-GLOBAL ID:202202275533598490
整理番号:22A1105167
機械学習法を用いた繊維製品の需要予測【JST・京大機械翻訳】
Demand Forecasting for Textile Products Using Machine Learning Methods
著者 (6件):
Medina Hector
(Faculty of Chemical Sciences, University of Cuenca, Cuenca, Ecuador)
,
Pena Mario
(Research Department (DIUC), University of Cuenca, Cuenca, Ecuador)
,
Pena Mario
(Department of Applied Chemistry and Systems of Production, Faculty of Chemical Sciences, University of Cuenca, Cuenca, Ecuador)
,
Siguenza-Guzman Lorena
(Department of Computer Sciences, Faculty of Engineering, University of Cuenca, Cuenca, Ecuador)
,
Siguenza-Guzman Lorena
(Research Centre Accountancy, Faculty of Economics and Business, KU Leuven, Leuven, Belgium)
,
Guaman Rodrigo
(Department of Applied Chemistry and Systems of Production, Faculty of Chemical Sciences, University of Cuenca, Cuenca, Ecuador)
資料名:
Communications in Computer and Information Science
(Communications in Computer and Information Science)
巻:
1535
ページ:
301-315
発行年:
2022年
JST資料番号:
W5071A
ISSN:
1865-0929
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)