A comparison of support vector machines, artificial neural network and classification tree for identifying soil texture classes in southwest China.
Wei WuAidi LiXin-Hua HeRan MaHongbin LiuJia-Ke LvPublished in: Comput. Electron. Agric. (2018)
Keyphrases
- classification trees
- support vector
- artificial neural networks
- logistic regression
- learning machines
- decision trees
- training data
- neural network
- inductive learning
- loss function
- regression trees
- training set
- classification accuracy
- class distribution
- random forests
- learning rules
- support vector machine
- knowledge base
- cross validation
- genetic algorithm ga
- linear discriminant analysis
- machine learning
- data sets