Effect of the principal component on the PCA-based neural network model for HFO2 thin film characteristics.
Young-Don KoMoon-Ho HamJae-Min MyoungIlgu YunPublished in: Artificial Intelligence and Applications (2007)
Keyphrases
- principal components
- neural network model
- thin film
- principal component analysis
- neural network
- dynamic characteristics
- artificial neural networks
- multivariate data
- dimensionality reduction
- bp neural network
- rbf neural network
- multi layer
- input variables
- solar cell
- short circuit
- kernel space
- covariance matrix
- dimension reduction
- high density
- white light interferometry
- data analysis
- pattern recognition
- image processing
- computer vision