NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK

NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK

Purpose. Continuous increase in network traffic in the information-telecommunication system (ITS) of Prydniprovsk Railways leads to the need to determine the real-time network congestion and to control the data flows. One of the possible solutions is a method of forecasting the volume of network tra...

Full description

Bibliographic Details
Main Author: V. M. Pakhomovа
Format: Article
Language:English
Published: Dnipro National University of Railway Transport named after Academician V. Lazaryan 2016-12-01
Series:Nauka ta progres transportu
Subjects:
forecasting
network traffic
volume
neuro-fuzzy network
hybrid system
term
membership function
set
adequacy
error
Online Access:http://stp.diit.edu.ua/article/view/90485/86966

Similar Items

Similar Items