文献
J-GLOBAL ID:202102226145188230
整理番号:21A2324970
密度及びサイズの異なる被覆及び平面ペレットの充填及びカプセル充填性能の予測に対する多重線形回帰及び人工ニューラルネットワークの適用【JST・京大機械翻訳】
Application of Multiple Linear Regression and Artificial Neural Networks for the Prediction of the Packing and Capsule Filling Performance of Coated and Plain Pellets Differing in Density and Size
著者 (6件):
Barmpalexis Panagiotis
(Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
,
Partheniadis Ioannis
(Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
,
Mitra Konstantina-Sepfora
(Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
,
Toskas Miltiadis
(Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
,
Papadopoulou Labrini
(Department of Mineralogy-Petrology-Economic Geology, School of Geology, Faculty of Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
,
Nikolakakis Ioannis
(Department of Pharmaceutical Technology, School of Pharmacy, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)
資料名:
Pharmaceutics (Web)
(Pharmaceutics (Web))
巻:
12
号:
3
ページ:
244
発行年:
2020年
JST資料番号:
U7258A
ISSN:
1999-4923
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)