Modern approaches to evaluation of the energy efficiency of the energy-saving devices in traction power system on the basis of artificial neural networks and fuzzy neural networks
The paper describes methods for evaluating the effectiveness of energy-saving devices in railway transport using the theory of artificial intelligence. Two approaches to the formation of electric power consumption models have been considered: artificial neural networks and fuzzy neural networks. Analysis is performed for electrified section of the West-Siberian railway.