In this paper the intensity of self-similar traffic of Gigabit Ethernet was researched. For this we use the measurement of real network. The research proves the self-similar nature of real traffic. Opportunity to use neural network to indicate the traffic of Gigabit Ethernet was shown. Our findings are, that our mathematical model is able to predict the intensity of traffic for some steps to forth.