Rapid Identification of Waste Cooking Oil with Near Infrared Spectroscopy Based on Support Vector Machine.
Xiong ShenXiao ZhengZhiqiang SongDongping HePeishi QiPublished in: CCTA (1) (2012)
Keyphrases
- support vector machine
- multi class
- training data
- svm classifier
- automatic identification
- decision boundary
- quantitative analysis
- support vector
- feature vectors
- three dimensional
- small sample
- principal components analysis
- website
- kernel methods
- feature selection
- real time
- nearest neighbor
- svm classification
- support vector regression
- machine learning
- high classification accuracy
- structural analysis
- environmental impact
- partial least squares
- kernel function
- support vector machine svm
- image classification
- artificial neural networks
- feature extraction