Quantitative thickness prediction of tectonically deformed coal using Extreme Learning Machine and Principal Component Analysis: a case study.
Xin WangYan LiTongjun ChenQiuyan YanLi MaPublished in: Comput. Geosci. (2017)
Keyphrases
- extreme learning machine
- principal component analysis
- prediction accuracy
- feedforward neural networks
- feed forward neural networks
- support vector regression
- principal components
- neural network
- dimension reduction
- hidden nodes
- dimensionality reduction
- prediction model
- variable selection
- single layer
- back propagation
- linear discriminant analysis
- singular value decomposition
- image quality
- multi layer
- activation function
- low dimensional
- training data
- face recognition