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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |