文献
J-GLOBAL ID:202002240364652184
整理番号:20A0879675
極端学習機械を用いた溶接鋼板の欠陥検出のための飛行時間回折超音波の分割解析【JST・京大機械翻訳】
Segmented analysis of time-of-flight diffraction ultrasound for flaw detection in welded steel plates using extreme learning machines
著者 (5件):
Silva Lucas C.
(Digital Systems Laboratory, Electrical Engineering Program, Federal University of Bahia, Salvador, Brazil)
,
Simas Filho Eduardo F.
(Digital Systems Laboratory, Electrical Engineering Program, Federal University of Bahia, Salvador, Brazil)
,
Albuquerque Maria C.S.
(Nondestructive Evaluation Research Group, Federal Institute for Education Science and Technology of Bahia, Salvador, Brazil)
,
Silva Ivan C.
(Nondestructive Evaluation Research Group, Federal Institute for Education Science and Technology of Bahia, Salvador, Brazil)
,
Farias Claudia T.T.
(Nondestructive Evaluation Research Group, Federal Institute for Education Science and Technology of Bahia, Salvador, Brazil)
資料名:
Ultrasonics
(Ultrasonics)
巻:
102
ページ:
Null
発行年:
2020年
JST資料番号:
C0379B
ISSN:
0041-624X
CODEN:
ULTRA3
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)