Design of an Optimal Modular LVQ Network for Classification of Arrhythmias Based on a Variable Training-Test Datasets Strategy.
Jonathan AmezcuaPatricia MelinOscar CastilloPublished in: IEEE Conf. on Intelligent Systems (2) (2014)
Keyphrases
- supervised learning
- learning vector quantization
- optimal design
- training phase
- training dataset
- training samples
- radial basis function network
- training process
- statistical tests
- generalization ability
- uci repository
- feature extraction
- image classification
- support vector machine
- classification accuracy
- optimal solution
- network design
- text classification
- classification method
- uci machine learning repository
- restricted boltzmann machine
- pattern recognition
- recurrent networks
- data sets
- multi layer perceptron
- experimental design
- network traffic
- network structure
- peer to peer
- user interface
- training set