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
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
