Predicting Product Quality from Operating Conditions Based on Multinomial Logistic Regression.
Pedro VazAna Cristina BragaMaria Sameiro CarvalhoGerardo MenezesPublished in: ICCSA (4) (2021)
Keyphrases
- operating conditions
- product quality
- multinomial logistic regression
- process control
- multi class
- steady state
- quality control
- control strategy
- fault diagnosis
- control system
- generalization bounds
- artificial neural networks
- product development
- product design
- support vector machine
- mathematical model
- software quality
- machine vision
- class distribution
- data mining
- class labels
- markov chain
- feature selection
- machine learning