Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM

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. Therefore, this study aims at forecasting imports in OECD member selected countries and Iran for 20 seasons from 2021 to 2025 by means of ANN. Data related to the imports of such countries collected over 50 years from 1970 to 2019 from valid resources including World Bank, WTO, IFM,the data turned into …

algorithms ann applications artificial artificial intelligence artificial neural networks cs.cy cs.lg econ.gn forecasting intelligence iran lstm network networks neural network neural networks oecd q-fin.ec study value