CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study.
Henrik JacobssonTom ZiemkePublished in: ICANN (2) (2005)
Keyphrases
- recurrent neural networks
- case study
- neural network
- feed forward
- complex valued
- feedforward neural networks
- echo state networks
- hidden layer
- reservoir computing
- artificial neural networks
- cascade correlation
- association rules
- recurrent networks
- neural model
- long short term memory
- rule learning
- active databases
- nonlinear dynamic systems
- classification rules
- business process
- machine learning
- real world
- feed forward neural networks
- hebbian learning
- knowledge base
- real time