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Abstract: A modified Recurrent Neural Network (RNN) is used to learn a Self-Routing Interconnection Network (SRIN) from a set of routing examples. The RNN is modified so that it has several distinct initial states. This is equivalent to a single RNN learning multiple different synchronous sequential machines. We define such a sequential machine structure as augmented and show that a SRIN is essentially an Augmented Synchronous Sequential Machine (ASSM). As an example, we learn a small six-switch SRIN.... (Update)
Context of citations to this paper: More
.... knowledge from recurrent networks trained on message sequences was used to learn the structure of the computer interconnection network [25]. In this paper, we focus on the analysis and synthesis of discrete time, discrete space systems with discrete time, continuous space...
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BibTeX entry: (Update)
M.W. Goudreau, C.L. Giles (1995). "Using Recurrent Neural Networks to Learn the Structure of Interconnection Networks," Neural Networks, vol. 8, no. 5, pp. 793-804. http://citeseer.ist.psu.edu/article/goudreau95using.html More
@techreport{ goudreau94using,
author = "Mark W. Goudreau and C. Lee Giles",
title = "Using Recurrent Neural Networks to Learn the Structure of Interconnection Networks",
number = "CS-TR-3226",
year = "1994",
url = "citeseer.ist.psu.edu/article/goudreau95using.html" }
Citations (may not include all citations):1911 Introduction to Automata Theory (context) - Hopcroft, Ullman - 1979
269 A learning algorithm for continually running fully recurrent.. - Williams, Zipser - 1989
205 Co-evolving parasites improve simulated evolution as an opti.. (context) - Hillis - 1990
184 Cryptographic limitations on learning boolean formulae and f.. - Kearns, Valiant - 1989
144 Switching and Finite Automata Theory (context) - Kohavi - 1978
141 The induction of dynamical recognizers - Pollack - 1991
126 A survey and critique of techniques for extracting rules fro.. (context) - Andrews, Diederich et al. - 1995
116 Finite state automata and simple recurrent networks (context) - Cleeremans, Servan-Schreiber et al. - 1989
108 Induction of finite-state languages using second-order recur.. (context) - Watrous, Kuhn - 1992
81 the complexity of minimum inference of regular sets (context) - Angluin - 1978
60 Learning finite state machines with self-clustering recurren.. (context) - Zeng, Goodman et al. - 1993
58 Interconnection Networks for Large Scale Parallel Processing (context) - Siegel - 1990
53 Diversity-based inference of finite automata - Schapire - 1988
53 Diversity-based inference of finite automata - Rivest, Schapire
48 Random DFA's can be approximately learned from sparse unifor.. - Lang - 1992
42 Finite Automata: Behavior and Synthesis (context) - Trakhtenbrot, Barzdin - 1973
33 First order recurrent neural networks and deterministic fini.. (context) - Manolios, Fanelli - 1994
31 Discovering the structure of a reactive environment by explo.. (context) - Mozer, Bachrach - 1990
29 Using knowledge-based neural networks to improve algorithms:.. - Maclin, Shavlik - 1993
24 Experimental comparison of the effect of order in recurrent .. (context) - Miller, Giles - 1993
20 Pruning recurrent neural networks for improved generalizatio.. - Giles, Omlin - 1994
20 Neural network design of a Banyan network controller (context) - Brown, Liu - 1990
18 insertion and refinement of symbolic rules in dynamically-dr.. (context) - Giles, Omlin - 1993
11 The minimum DFA consistency problem cannot be approximated w.. (context) - Pitt, Warmuth - 1989
10 SLUG: A connectionist architecture for inferring the structu.. (context) - Mozer, Bachrach - 1991
9 Neural Computation (context) - extracting, automata et al. - 1992
9 Neural network implementation of the shortest path algorithm.. (context) - Thomopoulos, Zhang et al. - 1991
8 Neural networks for switching (context) - Brown - 1989
7 First-order vs (context) - Goudreau, Giles et al. - 1994
7 A neural net arbitrator for large crossbar packet-switches (context) - Marrakchi, Troudet - 1989
4 Learning large debruijn automata with feed-forward neural ne.. - Clouse, Giles et al. - 1994
4 Comparisons of seven neural network models on traffic contro.. (context) - Funabiki, Takefuji et al. - 1993
4 A neural network solution for call routing with preferential.. (context) - Melsa, Kenney et al. - 1990
4 A neural network approach to the setup of the Benes switch (context) - Hakim, Meadows - 1990
4 A neural network solution for routing in three stage interco.. (context) - Melsa, Kenney et al. - 1990
3 A neural network model for traffic controls in multistage in.. (context) - Funabiki, Takefuji et al. - 1991
3 Neural networks for routing of communication networks with u.. (context) - Lee, Chang - 1993
2 Routing in random multistage interconnection networks: Compa.. (context) - thesis, University et al. - 1992
2 Neural Network Applications for Interconnection Networks (context) - Goudreau - 1993
2 Neural network architecture for crossbar switch control (context) - North-Holland, Troudet et al. - 1991
2 An artificial hysteresis binary neuron: A model suppressing .. (context) - York, Takefuji et al. - 1991
1 Learning a class of large finite state machines with a recur.. (context) - on, -- et al. - 1994
1 Discovering the structure of a self-routing interconnection .. (context) - Goudreau, Giles - 1993
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