An Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification.
Piyabute FuangkhonThitipong TanprasertPublished in: AICI (2009)
Keyphrases
- learning algorithm
- neural network
- supervised learning
- machine learning
- learning vector quantization
- classification algorithm
- pattern recognition
- back propagation
- machine learning algorithms
- classification accuracy
- unsupervised learning
- generalization ability
- feature selection
- classification method
- supervised classification
- feature vectors
- learning problems
- decision trees
- support vector machine
- training process
- pattern classification
- support vector
- training samples
- reinforcement learning
- training data
- feature extraction
- learning rules
- fourier descriptors
- learning tasks
- image classification
- fault diagnosis
- text classification
- semi supervised
- probabilistic neural network
- active learning
- nearest neighbour
- nearest neighbour algorithm
- restricted boltzmann machine
- multi layer perceptron
- learning scheme
- rbf network
- neural network model
- class labels
- training examples
- fuzzy logic
- learning process
- genetic algorithm