  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 data concerning the exports of the above
countries from 1970 to 2019 were collected. The collected data were implemented
to forecast the exports of the investigated countries for 2021 to 2025. The
analysis was performed using the Multi-Layer-Perceptron (MLP) neural network in
Python. Out of the total number, 75 percent were used as training data, and 25
percent were used as the test data. The findings of the study were evaluated
with 99% accuracy, which indicated the reliability of the output of the
network. The Results show that Covid-19 has affected exports over time.
However, long-term export contracts are less affected by tensions and crises,
due to the effect of exports on economic growth, per capita income and it is
better for economic policies of countries to use long-term export contracts.
