Open AccessPrediction Model of Rotor Yarn Quality Based on CNN-LSTM
Author(s) -
Zhenlong Hu
Publication year - 2022
Publication title -
journal of sensors
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.399
H-Index - 43
eISSN - 1687-7268
pISSN - 1687-725X
DOI - 10.1155/2022/3955047
Subject(s) - yarn , convolutional neural network , kernel (algebra) , artificial intelligence , convolution (computer science) , computer science , spinning , artificial neural network , process (computing) , deep learning , pattern recognition (psychology) , series (stratigraphy) , quality (philosophy) , mean squared error , mean squared prediction error , fiber , algorithm , engineering , mathematics , statistics , mechanical engineering , materials science , paleontology , philosophy , epistemology , combinatorics , biology , operating system , composite material
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