Vibration Tendency Prediction of Hydroelectric Generator Unit Based on Fast Ensemble Empirical Mode Decomposition and Kernel Extreme Learning Machine with Parameters Optimization.
Yahui ShanJianzhong ZhouWei JiangJie LiuYanhe XuYujie ZhaoPublished in: ISCID (2) (2018)
Keyphrases
- stock market prediction
- extreme learning machine
- empirical mode decomposition
- gaussian processes
- non stationary
- hidden nodes
- support vector regression
- feedforward neural networks
- feed forward neural networks
- neural network
- maximum likelihood
- kernel function
- ensemble methods
- image quality
- training data
- cross validation
- back propagation
- multi band
- multiple classifiers
- feature space
- multiscale
- feature selection