A Hybrid AB-RBF Classifier for Surface Electromyography Classification.
Rencheng WangYiyong YangXiao HuFangfang WuDewen JinXiaohong JiaFang LiJichuan ZhangPublished in: HCI (12) (2007)
Keyphrases
- classification scheme
- support vector
- support vector machine
- support vector machine svm
- classification method
- svm classifier
- classification process
- classification rate
- classification algorithm
- class labels
- classification accuracy
- feature space
- classifier combination
- mlp neural networks
- decision trees
- training set
- training samples
- feature selection
- classification models
- classification schemes
- learning vector quantization
- multi category
- k nearest neighbour
- accurate classification
- multi layer perceptron
- final classification
- machine learning
- probabilistic classifiers
- pattern recognition
- nearest neighbor classifier
- feature vectors
- multiclass classification
- associative classifiers
- multiple classifiers
- multiple classifier systems
- higher classification accuracy
- text classification
- decision boundary
- rule based classifier
- high classification accuracy
- multi class classifier
- training data
- fuzzy classifier
- neural network
- decision tree classifiers
- feature set
- radial basis function neural network
- hierarchical classification
- learning phase
- bayesian classifier
- text classifiers
- classification decisions
- cost sensitive
- feature extraction and classification
- binary decision tree
- individual classifiers
- radial basis function network
- classifier ensemble
- fold cross validation
- ensemble classifier
- nearest neighbour
- supervised classification
- rbf neural network
- feature subset
- pattern classification
- radial basis function
- d objects