Politehnika i dizajn, Vol. 8 No. 2, 2020.
Izvorni znanstveni članak
https://doi.org/10.19279/TVZ.PD.2020-8-2-07
THE IMPACT OF NOISE ON THE LEARNING OF A SINGLE NEURON
Predrag Valožić
orcid.org/0000-0001-7177-0692
; Tehničko Veleučilište u Zagrebu, Zagreb, Hrvatska
Sažetak
The behaviour of a linear neuron learning by template contaminated by additive white Gaussian noise was analysed. All calculations and graphs were performed in Matlab.The digital filtering of prediction errors in the Widrow - Hoff learning algorithm achieves reliable convergence of the learning process. The final results of the sine wave generator design are of better quality.The conclusions are also implicit in daily, human situations.
Ključne riječi
Linear neuron; Noise; Learning rule; ADALINE; Sine-wave generator
Hrčak ID:
243891
URI
Datum izdavanja:
15.9.2020.
Posjeta: 647 *