I would encode DFAs (Deterministic Finite State automata) as output (or input) of a neural network for a supervised learning; it is well-known [1] that efficacy of neural network training strongly depends on adopted encoding.  How can I encode DFAs for a neural network? Are there any literature works?I've already found some algorithms being able to extract a DFA from a recurrent neural network, but nothing about DFAs either as input or output of ANN.[1]: Neural network encoding approach comparison: an empirical study; Investigating the Effect of Data Representation On Neural Network andRegression; Data Mining and Neural Networks: The Impact of Data Representation.
DFAs can be encoded as input/output for a neural network?
automata;finite automata;machine learning;neural networks