Time Series Data Classification Using Recurrent Neural Network with Ensemble Learning.
Shinichi OedaIkusaburo KurimotoTakumi IchimuraPublished in: KES (3) (2006)
Keyphrases
- ensemble learning
- recurrent neural networks
- generalization ability
- ensemble classifier
- ensemble methods
- pattern recognition
- classification accuracy
- weak learners
- neural network
- support vector
- support vector machine
- supervised learning
- feed forward
- machine learning methods
- random forest
- decision trees
- recurrent networks
- concept drift
- benchmark datasets
- base classifiers
- training process
- hidden layer
- training samples
- image classification
- class labels
- model selection
- text classification
- feature vectors
- training set
- multi layer perceptron
- feature selection
- learning algorithm
- machine learning