Forecasting Indicators of Economic Development of Ukraine using an Artificial Neural Network
Forecasting Indicators of Economic Development of Ukraine using an Artificial Neural Network

Summary/Abstract: The article presents the results of forecasting indicators that characterise the economic development of Ukraine with the help of an artificial neural network developed by the author. For this purpose, a fully connected artificial neural network of direct signal propagation with a sigmoidal activation function was used. An inverse error propagation algorithm was used to train the artificial neural network. Used to assess the quality of the neural network Mean Squared Error and Mean Absolute Percentage Error. According to the forecasting results for the period 2022–2023, we have: a slight decline in Ukraine's GDP (US dollars), the growing role of the private sector in the structure of fixed assets of the country, and investment growth and growth in export earnings. At the same time, it is possible to reduce the amount of investment by the state and reduce the average salary (US dollars). Within the forecast period, the number of employed people in Ukraine will remain stable.

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