Exploiting similarity in system identification tasks with recurrent neural networks.
Sigurd SpieckermannSiegmund DüllSteffen UdluftAlexander HentschelThomas A. RunklerPublished in: Neurocomputing (2015)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- recurrent networks
- echo state networks
- reservoir computing
- artificial neural networks
- complex valued
- cascade correlation
- hebbian learning
- feedforward neural networks
- neural model
- similarity measure
- long short term memory
- nonlinear dynamic systems
- hidden layer
- real time
- learning algorithm
- distance measure
- expert systems
- multi task
- semantic similarity
- euclidean distance
- distance function
- model selection
- knowledge base