Theoretical Analysis and Classification of Training Problem in Neural Networks.
Peter GéczyShiro UsuiPublished in: ICONIP (1998)
Keyphrases
- theoretical analysis
- neural network
- training process
- multi layer perceptron
- pattern recognition
- training set
- supervised learning
- training phase
- classification scheme
- image classification
- support vector
- classification accuracy
- automatic classification
- training algorithm
- decision trees
- pattern classification
- artificial neural networks
- support vector machine
- training samples
- machine learning
- rule extraction
- training patterns
- classification performances
- classification algorithm
- support vector machine svm
- feature selection
- radial basis function
- training dataset
- generalization ability
- text classification
- neural networks and support vector machines
- neural network training
- learning vector quantization
- radial basis function network
- feature extraction
- preprocessing
- classification method
- classification rules
- neural network model
- decision rules
- multi layer
- neural network structure
- class labels
- face recognition
- numerical simulations
- feed forward neural networks
- feed forward
- feature vectors
- classification models
- hidden markov models
- feature set
- svm classifier
- model selection