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(Neural Computation. 2005;17:1911-1920.)
© 2005 The MIT Press


Note

Perfect Fault Tolerance of the n–k–n Network

Elko B. Tchernev

etcher1{at}umbc.edu, Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, Baltimore, MD 21250, U.S.A.

Rory G. Mulvaney

rory1{at}umbc.edu, Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, Baltimore, MD 21250, U.S.A.

Dhananjay S. Phatak

phatak{at}umbc.edu, Computer Science and Electrical Engineering Department, University of Maryland Baltimore County, Baltimore, MD 21250, U.S.A.

It was shown in Phatak, Choi, and Koren (1993) that the neural network implementation of the n–k–n encoder-decoder has a minimal size of k=2, and it was shown how to construct the network. A proof was given in Phatak and Koren (1995) that in order to achieve perfect fault tolerance by replicating the hidden layer, the required number of replications is at least three. In this note, exact lower bounds are derived for the number of replications as a function of n, for the n–2–n network and for the n–log2n–n network.







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