CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition.
Vahid YaghoubiLiangliang ChengWim Van PaepegemMathias KersemansPublished in: CoRR (2021)
Keyphrases
- deep learning
- dempster shafer theory
- unsupervised learning
- fault diagnosis
- belief functions
- machine learning
- combination rule
- object recognition
- unsupervised feature learning
- dempster shafer
- mental models
- fusion algorithm
- feature extraction
- neural network
- feature selection
- object detection
- training data
- expectation maximization
- pattern recognition
- weakly supervised
- dimensionality reduction
- maximum likelihood
- active learning
- artificial intelligence