Возможности искусственных нейронных сетей как аппарата для прогнозирования расхода электрической энергии на предприятиях железнодорожного транспорта

The article deals with the application of artificial neural networks for electricity load forecasting. It describes how to train a neural network, proposed criteria for selecting the optimal structure and parameters of the network. There is completed testing of the proposed method for railway transp... View More