Prediction of soluble solid content of starfruit using spectral imaging combined with partial least squares and support vector regression.
Feri CandraSyed Abd. Rahman Abu-BakarPublished in: ICSIPA (2015)
Keyphrases
- support vector regression
- partial least squares
- regression method
- regression model
- support vector
- prediction model
- support vector classification
- dimension reduction
- discriminant analysis
- kernel function
- support vector machine svm
- hybrid model
- principal component analysis
- ls svm
- factor analysis
- neural network
- kernel learning
- support vector machine
- membership functions
- least squares
- image sequences
- computer vision
- data sets