DocumentCode :
1482227
Title :
Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines
Author :
Kremer, Stefan C.
Author_Institution :
Dept. of Comput. & Inf. Sci., Guelph Univ., Ont., Canada
Volume :
10
Issue :
2
fYear :
1999
fDate :
3/1/1999 12:00:00 AM
Firstpage :
433
Lastpage :
438
Abstract :
Describes a proof which identifies limitations of local-feedback recurrent networks (LFRNs) in representing Mealy-Moore machines. Specifically, the paper identifies a class of machines that are unrepresentable in these networks. While it is known that LFRNs cannot represent all automata, this is the first paper to show a specific class of unrepresentable automata. The paper goes beyond previous work in the area by addressing realistic activation functions, arbitrary network architectures, and more general computing machines
Keywords :
finite automata; recurrent neural nets; transfer functions; Mealy-Moore machines; activation functions; arbitrary network architectures; general computing machines; local-feedback recurrent networks; unrepresentable automata; Automata; Computer architecture; Computer networks; Councils; Gradient methods; Information science; Logistics; Neurofeedback; Robustness; State feedback;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.750574
Filename :
750574
Link To Document :
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