Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error.
Stefan GlügeRonald BöckGünther PalmAndreas WendemuthPublished in: Neurocomputing (2014)
Keyphrases
- cascade correlation
- recurrent neural networks
- feedforward neural networks
- back propagation
- neural network
- feed forward
- long term
- artificial neural networks
- learning algorithm
- neural nets
- recurrent networks
- error back propagation
- error function
- backpropagation neural network
- feed forward neural networks
- backpropagation neural networks
- echo state networks
- backpropagation algorithm
- training algorithm
- hidden layer
- incremental learning
- short term
- learning rules
- neural model
- real time
- bp neural network
- neural network ensemble
- knowledge base
- multilayer neural network
- artificial intelligence
- reservoir computing