Spectral quantitative analysis based on AdaBoost kernel extreme learning machine for gas component prediction of underground cable channel.
Guang ShenRongjie HanZhenjie WuHaifeng QiuHua FanJian YePublished in: ICARM (2018)
Keyphrases
- quantitative analysis
- extreme learning machine
- gaussian processes
- support vector regression
- support vector
- qualitative analysis
- feedforward neural networks
- prediction accuracy
- kernel function
- hidden nodes
- genetic algorithm
- learning algorithm
- feed forward neural networks
- prediction model
- qualitative and quantitative analysis
- kernel methods
- multi class
- feature selection
- decision trees
- neural network
- training data
- ensemble methods
- variable selection
- input space
- gaussian process
- support vector machine
- feature extraction