International Symposium on Telecommunication (IST)

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Home / 11th International Symposium on Telecommunication (IST'2024)

Artificial Neural Network and ARIMA model to estimate ICT sector investment, a comparative approach

Authors :

Leila Mansourifar¹ Niloofar Moradhasel² Matin sadat Borghei³ Arman Heidari⁴

1- Iran Telecom Research Center (ITRC) 2- Iran Telecom Research Center (ITRC) 3- Iran Telecom Research Center (ITRC) 4- Iran University of Science and Technology (IUST)

Keywords :

Artificial Neural Network (ANN)،ARIMA،ICT،Investment

Abstract :

The purpose of this research is to predict the required ICT sector for the time period leading up to 1405. The ICT sector was predicted based on Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN). The major difference between the results of the two models indicates the difference between these two methods in forecasting, and it was shown that the ARIMA model is not a suitable method for program-oriented forecasts because it is not possible to consider variables in its calculations like economic growth. On the other hand, the neural network method can provide a more reliable prediction due to the inclusion of the economic growth variable in the learning process.

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