TY - JOUR
TI - The efficiency of using artificial feedforward neural networks with a single hidden layer of eight neurons for the analysis of overload conditions of selected tramway traction substations
AU - Dudzik, Marek
AU - Prusak, Janusz
AU - Drapik, Sławomir
AU - Kuznetsov, Valeriy
TI - The efficiency of using artificial feedforward neural networks with a single hidden layer of eight neurons for the analysis of overload conditions of selected tramway traction substations
AB - 
	This paper presents further results of research on the load variability of rectifier units for the selected tram traction substation. Actual measurements were used in the performed analysis. This time, the analysis was focused on the characteristics of maximum loads and overloads for time periods of five minutes and sixty minutes, for a number of selected cases. The second part of the article discusses the effectiveness of the use of artificial neural networks of the feedforward type with one hidden layer with eight neurons to analyse the overloads of the traction substation over a longer time scale. The obtained positive results indicate that this type of research should be continued, using different variants of artificial neural networks.
VL - 2018
IS - Volume 11 Year 2018 (115)
PY - 2018
SN - 0011-4561
C1 - 2353-737X
SP - 119
EP - 132
DO - 10.4467/2353737XCT.18.167.9423
UR - https://ejournals.eu/en/journal/czasopismo-techniczne/article/the-efficiency-of-using-artificial-feedforward-neural-networks-with-a-single-hidden-layer-of-eight-neurons-for-the-analysis-of-overload-conditions-of-selected-tramway-traction-substations
KW - loads and overloads of tram traction substation
KW - artificial neural network