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NARX Networks as Universal Computation by cristian_master is a document available to read on EtoBox.

What is NARX Networks as Universal Computation about?

NARX neural networks are a type of recurrent neural network with limited feedback that comes only from the output neuron rather than hidden states. This document proves that NARX networks are computationally universal, meaning they are at least as powerful as Turing machines. It shows that NARX networks can simulate fully connected recurrent neural networks with only a linear slowdown in computation time. As fully connected networks are known to be Turing equivalent, this establishes that NARX networks are

Author

cristian_master

Language

EN