Potential layer-wise supervised learning for training multi-layered neural networks.
Ryotaro KamimuraPublished in: IJCNN (2017)
Keyphrases
- multi layered
- supervised learning
- neural learning
- neural network
- multi layer
- training set
- training process
- training algorithm
- error back propagation
- training samples
- training examples
- unsupervised learning
- feed forward neural networks
- training data
- feedforward neural networks
- multi layer perceptron
- single layer
- machine learning
- backpropagation algorithm
- incremental learning
- labeled training data
- supervised machine learning
- fuzzy systems
- neural nets
- learning tasks
- semi supervised
- pairwise
- test set
- learning algorithm
- recurrent networks
- class labels
- active learning
- training phase
- labeled data
- fuzzy logic
- data sets
- neural network training
- neural network structure
- feature space
- generalization error
- statistical learning
- multilayer perceptron
- feed forward
- unlabeled data
- semi supervised learning
- hidden markov models