A deep transfer learning method based on stacked autoencoder for cross-domain fault diagnosis.
Ziwei DengZhuoyue WangZhaohui TangKeke HuangHongqiu ZhuPublished in: Appl. Math. Comput. (2021)
Keyphrases
- transfer learning
- cross domain
- fault diagnosis
- cross domain text classification
- multi sensor information fusion
- knowledge transfer
- learning tasks
- domain adaptation
- pairwise
- expert systems
- e government
- unsupervised learning
- training samples
- text categorization
- collaborative filtering
- natural language processing
- test data
- target domain
- cross domain learning
- feature extraction