Improving classification through ensemble neural networks.
Khobaib ZaamoutJohn Z. ZhangPublished in: ICNC (2012)
Keyphrases
- neural network
- pattern recognition
- training set
- final classification
- ensemble classifier
- machine learning methods
- support vector machine
- classification accuracy
- classification systems
- pattern classification
- text classification
- decision rules
- training process
- majority voting
- feature vectors
- regression problems
- fuzzy logic
- multi layer perceptron
- learning vector quantization
- classification scheme
- automatic classification
- multiple classifier systems
- machine learning
- cross validation
- image classification
- genetic algorithm
- artificial neural networks
- decision trees
- feature extraction
- support vector
- neural networks and support vector machines
- binary classification problems
- decision tree classifiers
- data sets
- fuzzy decision trees
- classifier ensemble
- random forest
- classification models
- multilayer perceptron
- classification algorithm
- back propagation
- feature space
- training data
- feature selection