Rolling Bearing Sub-Health Recognition via Extreme Learning Machine Based on Deep Belief Network Optimized by Improved Fireworks.
Hao LuoChao HeJianing ZhouLi ZhangPublished in: IEEE Access (2021)
Keyphrases
- extreme learning machine
- feed forward neural networks
- neural network
- support vector regression
- feedforward neural networks
- feature extraction
- pattern recognition
- gaussian processes
- unsupervised learning
- deep belief networks
- hidden nodes
- training data
- active learning
- fuzzy logic
- back propagation
- activation function