Classification and Evaluation of Quality Grades of Organic Green Teas Using an Electronic Nose Based on Machine Learning Algorithms.
Huixiang LiuDongbing YuYu GuPublished in: IEEE Access (2019)
Keyphrases
- machine learning algorithms
- benchmark data sets
- quality evaluation
- decision trees
- machine learning methods
- machine learning
- electronic nose
- learning algorithm
- predictive accuracy
- learning problems
- random forests
- machine learning approaches
- machine learning models
- input features
- evaluation model
- supervised machine learning algorithms
- high quality
- supervised learning
- learning models
- quality assessment
- classification models
- high dimensionality
- quality metrics
- multi class
- image processing
- statistical machine learning
- feature selection
- text classification