Andrews R, Diederich J, Tickle AB. (1995). Survey and critique of techniques for extracting rules from trained artificial neural networks Knowledge Based Systems. 8

Bengio Y, Simard P, Frasconi P. (1994). Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks. 5 [PubMed]

Burr D, Hanson S. (1991). What connectionist models learn: Learning and representation in connectionist networks Neural networks: Theory and applications.

Casey M. (1996). The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction. Neural computation. 8 [PubMed]

Chen D et al. (1992). Learning and extracting finite state automata with second-order recurrent neural networks Neural Comput. 4

Chen D et al. (1992). Extracting and learning an unknown grammar with recurrent neural networks Advances in neural information processing systems. 4

Das S, Das R. (1991). Induction of discrete-state machine by stabilizing a simple recurrent network using clustering Computer Science And Information. 21

Das S, Mozer MC. (1994). A unified gradient-descent-clustering architecture for finite state machine induction Advances in neural information processing systems. 6

Elman JL. (1990). Finding structure in time Cognitive Science. 14

Giles CL, Lawrence S, Tsoi AC. (2001). Noisy time series prediction using a recurrent neural network and grammatical inference Mach Learn. 44

Giles CL, Omlin C. (1996). Extraction of rules from discrete-time recurrent neural networks Neural Networks. 9

Giles CL, Omlin CW. (1994). Pruning recurrent neural networks for improved generalization performance. IEEE transactions on neural networks. 5 [PubMed]

Glavinović MI. (2002). Mechanisms shaping fast excitatory postsynaptic currents in the central nervous system. Neural computation. 14 [PubMed]

Golea M. (1996). On the complexity of rule extraction from neural networks and network-querying Tech Rep.

Kohonen T. (1995). Self-organizing Maps.

Lang KJ. (1992). Random DFAs can be approximately learned from sparse uniform examples Proceedings of the Fifth ACM Workshop on Computational Learning Theory.

Mcclelland JL, Servan-Schreiber D, Cleeremans A. (1989). Finite state automata and simple recurrent networks Neural Comput. 1

Miller C, Omlin CW, Giles C. (1992). Heuristics for the extraction of rules from discrete-time recurrent neural networks Proceedings Of The International Joint Conference On Neural Networks. 1

Omlin C, Giles C, Thornber K. (1998). Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks IEEE Trans Fuzzy Systems. 6

Omlin C, Van_Zyl J. (2001). Prediction of seismic events in mines using neural networks International Joint Conference On Neural Networks 2001. 2

Omlin CW, Giles CL. (1996). Constructing deterministic finite-state automata in recurrent neural networks J ACM. 43

Omlin CW, Giles CL. (1996). Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. Neural computation. 8 [PubMed]

Pollack J. (1991). The induction of dynamical recognizers Mach Learn. 7

Tino P, Sajda J. (1995). Learning and extracting initial mealy machines with a modular neural network model Neural Comput. 7

Trakhenbrot B, Barzdin Y. (1973). Finite automata: Behavior and synthesis.

Watrous R, Kuhn G. (1992). Induction of finite-state languages using second-order recurrent networks Neural Comput. 4

Watrous RL, Kuhn GM. (1992). Induction of finite-state automata using second-order recurrent networks Advances in neural information processing systems. 4

Zeng Z, Goodman RM, Smyth P. (1993). Learning finite state machines with self-clustering recurrent networks Neural Comput. 5

Zipser D, Williams RJ. (1989). A learning algorithm for continually running fully recurrent neural networks Neural Comput. 1

Jacobsson H. (2005). Rule extraction from recurrent neural networks: A taxonomy and review Neural Comput. 17

Jacobsson H. (2006). The crystallizing substochastic sequential machine extractor: CrySSMEx. Neural computation. 18 [PubMed]