Demand Modelling in Telecommunications Comparison of Standard Statistical Methods and Approaches Based upon Artificial Intelligence Methods Including Neural Networks

被引：0

作者：

Chvalina, M. ^{[1
]}

机构：

[1] Czech Tech Univ, Dept Econ Management & Humanities, Fac Elect Engn, Tech 2, Prague 16627, Czech Republic

来源：

ACTA POLYTECHNICA | 2009年 / 49卷 / 02期

关键词：

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

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：48 / 52

页数：5