A Dual Network Adaptive Learning Algorithm for Supervised Neural Network with Contour Preserving Classification for Soft Real Time Applications.
Piyabute FuangkhonThitipong TanprasertPublished in: HAIS (1) (2010)
Keyphrases
- learning algorithm
- supervised learning
- neural network
- pattern recognition
- machine learning algorithms
- back propagation
- machine learning
- neural network structure
- classification algorithm
- learning vector quantization
- network model
- generalization ability
- unsupervised learning
- feature selection
- supervised classification
- wavelet neural network
- active learning
- image classification
- machine learning methods
- classification accuracy
- artificial neural networks
- radial basis
- training data
- decision trees
- learning rate
- hopfield network
- training samples
- network architecture
- feed forward
- training algorithm
- multi layer perceptron
- network structure
- support vector machine svm
- active contours
- connection weights
- training set
- radial basis function network
- restricted boltzmann machine
- recurrent networks
- nearest neighbour
- hidden neurons
- nearest neighbour algorithm
- class labels
- learning rules
- training examples
- feature vectors
- support vector
- feature extraction
- image segmentation
- training process
- incremental learning
- neural network model
- labeled data
- text classification
- fuzzy logic
- social networks
- elman network