A New Parameter Repurposing Method for Parameter Transfer With Small Dataset and Its Application in Fault Diagnosis of Rolling Element Bearings
Transfer learning is a promising deep learning approach that can be used in applications that suffer from insufficient training data. Parameter transfer, which is a method of improving the accuracy and training speed by training the target network using the parameters of the source network, selects...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8671465/ |