Predicting brix of intact pears by a portable NIR spectrometry with LS-SVM.
Yan-de LiuRong-jie GaoXudong SunAi-Guo OuYangYuan-yuan PanXiao-ling DongPublished in: ICNC (2010)
Keyphrases
- ls svm
- least squares support vector machine
- least squares
- cross validation
- variable selection
- input variables
- prediction model
- hyperparameters
- improved algorithm
- generalization ability
- correlation coefficient
- support vector machine
- support vector
- parameter estimation
- data sets
- pattern recognition
- model selection
- machine learning