Demand Modelling in Telecommunications

Authors

  • M. Chvalina

DOI:

https://doi.org/10.14311/1121

Keywords:

Demand, telecommunications, standard statistical methods, Box-Jenkins methodology, ARIMA, artificial intelligence methods, neural network

Abstract

This article analyses the existing possibilities for using Standard Statistical Methods and Artificial Intelligence Methods for a short-term forecast and simulation of demand in the field of telecommunications. The most widespread methods are based on Time Series Analysis. Nowadays, approaches based on Artificial Intelligence Methods, including Neural Networks, are booming. Separate approaches will be used in the study of Demand Modelling in Telecommunications, and the results of these models will be compared with actual guaranteed values. Then we will examine the quality of Neural Network models. 

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Author Biography

M. Chvalina

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Published

2009-01-02

How to Cite

Chvalina, M. (2009). Demand Modelling in Telecommunications. Acta Polytechnica, 49(2). https://doi.org/10.14311/1121

Issue

Section

Articles