A neural network ensemble method with jittered training data for time series forecasting.
G. Peter ZhangPublished in: Inf. Sci. (2007)
Keyphrases
- ensemble methods
- training data
- neural network
- decision trees
- artificial neural networks
- base learners
- training process
- prediction accuracy
- random forests
- benchmark datasets
- random forest
- ensemble learning
- machine learning methods
- rotation forest
- generalization ability
- learning algorithm
- training set
- base classifiers
- test set
- test data
- back propagation
- drifting concepts
- data sets
- multilabel classification
- classifier ensemble
- ensemble classifier
- support vector machine
- class labels
- classification models
- bp neural network
- labeled data
- naive bayes
- classification accuracy
- training examples
- subspace methods
- image classification
- pattern recognition
- machine learning algorithms
- machine learning