Synaptic value bounds for optimizing retrieval in recurrent neural networks.
Daniel Ben Dayan RubinPublished in: Neurocomputing (2004)
Keyphrases
- recurrent neural networks
- feed forward
- hebbian learning
- echo state networks
- lower bound
- complex valued
- artificial neural networks
- information retrieval
- back propagation
- recurrent networks
- feedforward neural networks
- hidden layer
- neural network
- reservoir computing
- upper bound
- neural model
- learning rules
- image database
- worst case
- document retrieval
- cascade correlation
- image retrieval
- information retrieval systems
- query expansion
- test collection
- artificial intelligence
- nonlinear dynamic systems
- retrieval systems
- activation function
- single neuron
- neuron model
- real time
- long short term memory