文献
J-GLOBAL ID:201802281568516030
整理番号:18A1688288
人工神経回路網を用いた改良ゼオライト添加モルタルの圧縮及び曲げ強さの予測【JST・京大機械翻訳】
Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network
著者 (2件):
Onyari E.K.
(Department of Civil and Chemical Engineering, College of Science, Engineering and Technology, University of South Africa, P/Bag X6 Florida 1710, Johannesburg, South Africa)
,
Ikotun B.D.
(Department of Civil and Chemical Engineering, College of Science, Engineering and Technology, University of South Africa, P/Bag X6 Florida 1710, Johannesburg, South Africa)
資料名:
Construction and Building Materials
(Construction and Building Materials)
巻:
187
ページ:
1232-1241
発行年:
2018年
JST資料番号:
T0560A
ISSN:
0950-0618
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)