Rule Extraction from Discrete Time Recurrent Neural Networks

Rule extraction (RE) from a recurrent neural network (RNN) is a process of finding a computational machine "as equivalent as possible" to the underlying RNN. RNNs are in principle Turing machine equivalent, but RE typically extracts state machines. A survey of existing RE techniques will be presented and evaluated in this talk.