Jun 22, 2005 · This paper describes a formalism for modelling neural networks based on networks of finite automata. We assume the behavior of a network, ...
Neural network modelling by means of networks of finite automata
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This paper describes a formalism for modelling neural networks based on networks of finite automata. We assume the behavior of a network, i.e. its reaction ...
This paper describes a formalism for modelling neural networks based on networks of finite automata. We assume the behavior of a network, i.e. its reaction ...
In this paper, we propose new approach for synthesizing finite automata from a dictionary of some language that uses neural networks.
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This paper presents a new architecture of neural networks for representing deterministic finite state automata (FSA). The proposed model is capable of ...
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The simulation is quite simple: A finite automaton with m states is replaced by a network containing 2 m + 1 neurons.
This article studies finite size networks that consist of interconnections of synchronously evolving processors. Each processor updates its state by ...
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Jul 29, 2024 · In this work, we propose two implementations of a recurrent neural network that model the behavior of weighted finite automata. These models ...
Jul 11, 2017 · In the first post of this series, get a brief look at research about neural networks, finite state machines, models of the human brain, and abstract machines.
Let K(m) denote the smallest number with the property that every m-state finite automaton can be built as a neural net using K(m) or fewer neurons.
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