Real-time product quality control for batch processes based on stacked least-squares support vector regression models.
Shuning ZhangFuli WangDakuo HeRunda JiaPublished in: Comput. Chem. Eng. (2012)
Keyphrases
- quality control
- regression model
- least squares
- product quality
- real time
- support vector
- manufacturing process
- linear model
- machine vision
- support vector regression
- quality assurance
- model selection
- regression analysis
- prediction model
- ls svm
- manufacturing systems
- cross validation
- regression methods
- generalized linear models
- vision system
- automated visual inspection
- kernel function
- case study
- explanatory variables
- linear regression model
- multiple linear regression
- generalized linear
- support vector machine
- feature selection
- regression trees
- loss function
- target variable
- optical flow
- multivariate regression
- interval valued data
- product development
- product design
- hyperparameters
- life cycle
- logistic regression
- artificial neural networks
- machine learning
- data mining