Soft sensors of nonlinear industrial processes based on self-learning kernel regression model.
Chihang WeiJunghui ChenZhihuan SongChun-I ChenPublished in: ASCC (2017)
Keyphrases
- regression model
- industrial processes
- kernel regression
- industrial process
- fault detection
- generalized linear
- quality improvement
- condition number
- fault detection and isolation
- regression methods
- generalized linear models
- support vector regression
- regression analysis
- linear regression model
- kernel methods
- linear model
- kernel function
- model selection
- real time
- fuzzy neural network
- regression method
- multiple linear regression
- explanatory variables
- prediction model
- semi parametric
- gaussian process
- expert systems
- feature space
- support vector
- welding process
- interval valued data
- locally weighted
- nonlinear models
- gaussian processes
- closed loop
- rough sets