Ensemble ANN Classifier for Structural Health Monitoring.
Ziemowit DworakowskiTadeusz StepinskiKrzysztof DraganAdam JablonskiTomasz BarszczPublished in: ICAISC (1) (2016)
Keyphrases
- artificial neural networks
- ensemble learning
- classifier ensemble
- ensemble classifier
- training data
- multiple classifiers
- training set
- final classification
- neural network
- individual classifiers
- feature selection
- multiple classifier systems
- majority voting
- decision tree classifiers
- learning algorithm
- using artificial neural networks
- decision trees
- ann models
- combining classifiers
- feature ranking
- classifier combination
- classification algorithm
- support vector machine
- genetic algorithm
- base classifiers
- back propagation
- neural classifier
- weak classifiers
- accurate classifiers
- bias variance decomposition
- weak learners
- ensemble members
- neural network model
- support vector
- training examples
- prediction accuracy
- class labels
- learning classifier systems
- ensemble methods
- random forests
- classification rate
- linear classifiers
- pruning algorithm
- recurrent neural networks
- random forest
- radial basis function
- concept drift
- weighted voting
- training samples
- supervised learning
- receiver operating characteristic curves