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Original scientific paper

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 id orcid.org/0000-0001-7177-0692 ; Zagreb University of Applied Sciences, Zagreb, Croatia


Full text: croatian pdf 3.603 Kb

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Abstract

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.

Keywords

Linear neuron; Noise; Learning rule; ADALINE; Sine-wave generator

Hrčak ID:

243891

URI

https://hrcak.srce.hr/243891

Publication date:

15.9.2020.

Article data in other languages: croatian

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