Extraction of rules from discrete-time recurrent neural networks

Keyphrases

• Deterministic Finite Automata 100%
• Rule Extraction 100%
• Clustering Algorithm 50%
• Recurrent Neural Network 50%
• Regular Languages 50%
• Information Exchange 50%
• Grammar 50%
• Training Set 50%
• Partial Knowledge 50%
• Neural Network Training 50%
• Generalization Performance 50%
• Finite Automata 50%
• Knowledge Representation 50%
• Symbolic Knowledge 50%
• State Neuron 50%
• Connectionist 50%
• Output Space 50%
• Regular Grammar 50%
• Recurrent States 50%

Computer Science

• discrete-time 100%
• State Automaton 100%
• Recurrent Neural Network 100%
• Deterministic Finite 66%
• Clustering Algorithm 33%
• Regular Language 33%
• Generalization Performance 33%
• Trained Neural Network 33%
• Regular Grammar 33%
• Trained Network 33%