3 papers
econ.GN2024
Predicting the impact of e-commerce indices on international trade in Iran and other selected members of the Organization for Economic Co-operation and Development (OECD) by using the artificial intelligence and P-VAR model
Soheila Khajoui, Saeid Dehyadegari, Sayyed Abdolmajid Jalaee
This study aims at predicting the impact of e-commerce indicators on international trade of the selected OECD countries and Iran, by using the artificial intelligence approach and…
cs.CY2024
Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
Soheila Khajoui, Saeid Dehyadegari, Sayyed Abdolmajid Jalaee
Artificial Neural Networks (ANN) which are a branch of artificial intelligence, have shown their high value in lots of applications and are used as a suitable forecasting method. T…
econ.GN2023
Forecasting exports in selected OECD countries and Iran using MLP Artificial Neural Network
Soheila Khajoui, Saeid Dehyadegari, Sayyed Abdolmajid Jalaee
The present study aimed to forecast the exports of a select group of Organization for Economic Co-operation and Development (OECD) countries and Iran using the neural networks. The…