Title of article
N -BIT PARITY NEURAL NETWORKS WITH MINIMUM NUMBER OF THRESHOLD NEURONS
Author/Authors
Arslanov, M.Z. Institute of information and computation technologies Almaty, Kazakhstan
Pages
10
From page
4
To page
13
Abstract
In this paper ordered neural networks for the N-bit parity function containing
log2
(N + 1) threshold elements are constructed. The minimality of this network is proved.
The connection of minimum perceptrons of Gamb for the N-bit parity function wint one
combinatorial problems is established.
Keywords
Neural Networks , XOR problem , Perceptrons of Gamb
Journal title
Eurasian Journal of Mathematical and Computer Applications
Serial Year
2016
Record number
2601149
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