Abstract. In this paper a recurrent network, which consists of
|
1989
|
Neural Networks. A Comprehensive Foundation
– Haykin
- 1994
|
|
536
|
Networks for approximation and learning
– Poggio, Girosi
- 1990
|
|
402
|
Fast learning in networks of locally-tuned processing units
– Moody, Darken
- 1989
|
|
320
|
Multivariable functional interpolation and adaptive networks
– Broomhead, Lowe
- 1988
|
|
259
|
Representation of events in nerve nets and finite automata
– Kleene
- 1956
|
|
215
|
Radial basis functions for multivariable interpolation: A review,“ in Algorithms for Approximation of Functions and
– Powell
- 1987
|
|
52
|
On the effect of analog noise in discrete-time analog computations
– Maass, Orponen
- 1998
|
|
45
|
On the Computational Power of Neural Networks
– Siegelmann, Sontag
|
|
43
|
Bounds on the complexity of recurrent neural-network implementations of finite-state machines
– Horne, Hush
- 1996
|
|
38
|
Training second-order recurrent neural networks using hints
– Omlin, Giles
- 1992
|
|
32
|
A unified gradient-descent/clustering architecture for finite state machine induction
– Das, Mozer
- 1994
|
|
30
|
The dynamic universality of sigmoidal neural networks
– Kilian, Siegelmann
- 1996
|
|
27
|
A unified approach for integrating explicit knowledge and learning by example in recurrent networks
– Frasconi, Gori, et al.
- 1991
|
|
24
|
Optimal simulation of automata by neural nets
– Indyk
- 1995
|
|
16
|
Theory of neuromata
– Sma, Wiedermann
- 1998
|
|
15
|
Computational power of neural networks: A characterization in terms of Kolmogorov complexity
– Balcazar, Gavalda, et al.
- 1997
|
|
15
|
Learning and extracting state automata with second-order recurrent neural networks
– Giles, Miller, et al.
- 1992
|
|
15
|
Learning and extracting initial mealy automata with a modular neural network model
– Tino, Sajda
- 1995
|
|
14
|
On the node complexity of neural networks
– Horne, Hush
- 1994
|
|
13
|
First-order recurrent neural networks and deterministic finite state automata
– Manolios, Fanelli
- 1994
|
|
8
|
Radial basis function network for speech pattern classification
– Renals
- 1989
|
|
7
|
Ecient simulation of automata by neural nets
– Alon, Dewdney, et al.
- 1991
|
|
6
|
Constructing deterministic automata in recurrent neural networks
– Omlin, Giles
- 1996
|
|
5
|
Representation of state automata in recurrent radial basis function networks
– Frasconi, Gori, et al.
- 1996
|
|
5
|
Analog stable simulation of discrete neural networks
– Sma
- 1997
|
|
3
|
Inductive inference with recurrent radial basis function networks
– Gori, Maggini, et al.
- 1994
|
|
3
|
Learning state machines with selfclustering recurrent networks
– Zeng, Goodman, et al.
- 1993
|