Prediction of contact resistance between copper blocks under cyclic load based on deep learning algorithm
Author(s) -
Zeyang Feng,
Jiangtao Yan,
Yuanwen Gao
Publication year - 2022
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0095871
Subject(s) - artificial neural network , copper , contact resistance , algorithm , mean squared error , debugging , test data , surface (topology) , set (abstract data type) , regression , root mean square , computer science , artificial intelligence , materials science , mathematics , layer (electronics) , engineering , composite material , metallurgy , statistics , geometry , electrical engineering , programming language
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