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- W2093013150 abstract "To model human natural language processing using computation theory, Elman proposed a simple recurrent network. A simple recurrent network is a recurrent neural network with restrictions added to the connections between gates. When the range of the function for computing each gate of a simple recurrent network is a finite set (this is called a discrete simple recurrent network), its computational capability is known to be equivalent to that of a finite automaton with output. This paper introduces a modification of a discrete simple recurrent network so that it has a computational capability equivalent to that of a real-time deterministic pushdown automaton (real-time DPDA). In other words, the discrete simple recurrent network is extended as follows. (1) It contains a number of gates equal to a constant multiple of the input length, and (2) those gates can be used to simulate a stack with a depth of at most the input length. © 2003 Wiley Periodicals, Inc. Syst Comp Jpn, 34(7): 55–62, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10275" @default.
- W2093013150 created "2016-06-24" @default.
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- W2093013150 date "2003-04-22" @default.
- W2093013150 modified "2023-09-27" @default.
- W2093013150 title "Equivalence of real-time DPDAs and discrete extended simple recurrent networks with some restrictions" @default.
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- W2093013150 doi "https://doi.org/10.1002/scj.10275" @default.
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