Predicting octane numbers relying on principal component analysis and artificial neural network.
Steven TiplerGiuseppe D'AlessioQuentin Van HauteA. ParenteFrancesco ContinoAxel CoussementPublished in: Comput. Chem. Eng. (2022)
Keyphrases
- artificial neural networks
- principal component analysis
- principal components
- dimensionality reduction
- neural network
- independent component analysis
- covariance matrix
- neural classifier
- linear discriminant analysis
- back propagation
- low dimensional
- dimension reduction
- discriminant analysis
- input variables
- neural network model
- recurrent neural networks
- face images
- face recognition
- considerable increase
- ann models
- singular value decomposition
- genetic algorithm ga
- feature set
- least squares
- genetic algorithm
- real world