Stable behavior in a recurrent neural network for a finite state machine
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 Neural networks : the official journal of the International Neural Network Society

Neural networks : the official journal of the International Neural Network Society 13(6), 667680, 20000601
References: 32

1
 Annealed RNN learning of finite state automata

ARAI K.
Proceedings of ICANN, 519524, 1996
Cited by (1)

2
 Adaptive β scheduling learning method of finite state automata by recurrent neural networks

ARAI K.
Proceedings of ICONIP 1, 351354, 1996
Cited by (1)

3
 <no title>

BISHOP C. M.
Neural networks for pattern recognition, 385439, 1995
Cited by (1)

4
 A unified gradientdescent/clustering architecture for finite state machine induction

DAS S.
Advances in neural information processing systems 6, 1926, 1994
Cited by (2)

5
 Finding Structure in Time

ELMAN J. L.
Cognitive Science 14, 179211, 1990
Cited by (53)

6
 Higher order recurrent neural networks and grammatical inference

GILES C. L.
Advances in Neural Information Processing Systems 2, 380386, 1990
Cited by (1)

7
 <no title>

GILL P. E.
Practical optimization, 83154, 1981
Cited by (1)

8
 <no title>

HERTZ J.
Introduction to the theory of neural computation, 415447, 1991
Cited by (1)

9
 Learning translation invariant recognition in massively parallel networks

HINTON G. E.
Proceedings of PARLE Conference on Parallel Architecture and Languages, Europe, 113, 1987
Cited by (1)

10
 Fool's gold: extracting finite state machines from recurrent neural network dynamics

KOLEN J. R.
Advances in Neural Information Processing Systems 6, 508515, 1994
Cited by (1)

11
 <no title>

MINSKY M. L.
Computation: finite and infinite machine, 3266, 1967
Cited by (1)

12
 Dynamic construction of finite automata from example using hillclimbing

TOMITA M.
Proceedings of the Fourth Annual Cognitive Science Conference, 105108, 1982
Cited by (1)

13
 On the asymptotic behavior of posterior distribution

WALKER A. M.
Journal of the Royal Statistical Society, B 31(1), 8088, 1969
Cited by (1)

14
 An algebraic framework to represent finite state machines in singlelayer recurrent neural networks

ALQUEZAR R.
Neural Computation 7, 931949, 1995
DOI Cited by (1)

15
 Learning longterm dependencies with gradient descent is difficult

BENGIO Y.
IEEE Transactions on Neural Networks 5(2), 157166, 1994
Cited by (15)

16
 Analysis of dynamical recognizers

BLAIR A. D.
Neural Computation 9, 11271142, 1997
Cited by (1)

17
 The dynamics of discretetime computation, with application to recurrent neural networks and finite state machine extraction

CASEY M.
Neural Computation 8(6), 11351178, 1996
DOI Cited by (6)

18
 Finite state automata and simple recurrent networks

CLEEREMANS A.
Neural Computation 1, 372381, 1989
DOI Cited by (26)

19
 Dynamic OnLine Clustering and State Extraction: An Approach to Symbolic Learning

DAS Sreerupa , MOZER Michael
Neural Networks 11(1), 5364, 19980101
References (19) Cited by (2)

20
 Learning the Initial State of a SecondOrder Recurrent Neural Network during RegularLanguage Inference

FORCADA M. L.
Neural Computation 7, 923930, 1995
DOI Cited by (3)

21
 Representation of finite state automata in recurrent radial basis function networks

FRASCONI P.
Machine Learning 23, 532, 1996
DOI Cited by (3)

22
 Learnign and extracting finite state automata with secondorder recurrent neural networks

GILES C. L.
Neural Computation 4(4), 393405, 1992
DOI Cited by (18)

23
 FirstOrder Versus SecondOrder SingleLayer Recurrent Neural Networks

GOUDREAU M.
IEEE Neural Networks 5(3), 511111, 1994
Cited by (7)

24
 Bayesian interpolation

MACKAY D. J. C.
Neural Computation 4(3), 415447, 1992
DOI Cited by (62)

25
 FirstOrder Recurrent Neural Networks and Deterministic Finite State Automata

MANOLIOS P.
Neural Computation 6, 11551173, 1994
DOI Cited by (6)

26
 Stable encoding of large finitestate automata in recurrent neural networks with sigmoid discriminants

OMLIN C. W.
Neural Computation 8(4), 675696, 1996
DOI Cited by (2)

27
 Constructing deterministic finitestate automata in recurrent neural networks

OMLIN C. W.
Journal of the ACM 43(6), 937972, 1996
Cited by (6)

28
 The induction of dynamical recognizers

POLLACK J. B.
Machine Learning 7, 227252, 1991
DOI Cited by (21)

29
 Learning and Extracting Initial Mealy Automata with a Modular Neural Network Model

TINO P.
Neural Computation 7, 822844, 1995
DOI Cited by (7)

30
 Induction of FiniteState Languages Using SecondOrder Recurrent Networks

WATROUS R. L.
Neural Computation 4, 406414, 1995
DOI Cited by (7)

31
 A learning algorithm for continually running fully recurrent neural networks

WILLIAMS R. J.
Neural Computation 1(2), 270280, 1989
DOI Cited by (77)

32
 Learning finite state machines with selfclustering recurrent networks

ZENG Z.
Neural Computation 5, 976990, 1993
DOI Cited by (9)