Open AccessResearch on wear of Ni-Cr alloy milling based on residual network
Author(s) -
Shengming Cheng,
Yajun Wang,
Junyu Leng,
Xinchen Zhang
Publication year - 2022
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1177/16878132221119926
Subject(s) - residual , convolution (computer science) , artificial neural network , tool wear , signal (programming language) , computer science , quality (philosophy) , vibration , materials science , artificial intelligence , pattern recognition (psychology) , mechanical engineering , engineering , metallurgy , algorithm , acoustics , machining , philosophy , physics , epistemology , programming language
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