The classification capability of a dynamic threshold neural network.
Cheng-Chin ChiangHsin-Chia FuPublished in: Pattern Recognit. Lett. (1994)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- classification accuracy
- machine learning methods
- machine learning
- incremental learning
- support vector machine svm
- feature selection
- feature vectors
- support vector
- roc curve
- image classification
- classification systems
- classification scheme
- training set
- classification algorithm
- training process
- automatic classification
- feature extraction
- dynamic environments
- multi layer perceptron
- fuzzy logic
- support vector machine
- artificial neural networks
- feature space
- classification models
- learning algorithm
- recurrent neural networks
- decision trees
- classification method
- model selection
- text classification
- supervised learning
- classification rules
- multi layer
- decision rules
- class labels
- machine learning algorithms
- unsupervised learning
- classification rate
- classification process
- nearest neighbour
- feed forward neural networks