Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects

Deep Transfer Learning (DTL) signifies a novel paradigm in machine learning, merging the superiorities of deep learning in feature representation with the merits of transfer learning in knowledge transference. This synergistic integration propels DTL to the forefront of research and development with...

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Detalles Bibliográficos
Autores principales: Guo, Yu, Zhang, Jundong, Sun, Bin, Wang, Yongkang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459647/
https://www.ncbi.nlm.nih.gov/pubmed/37631799
http://dx.doi.org/10.3390/s23167263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459647/
https://www.ncbi.nlm.nih.gov/pubmed/37631799
http://dx.doi.org/10.3390/s23167263

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