Neural Network Forecasting of International Population Migration
Анотація
The article considers the theoretical and methodological foundations of international migration and its impact on the economic and demographic development of the country. The analysis of international migration movements on the example of the region is carried out. The factors influencing the international migration of the population are determined. A neural network has been built to predict the international migration of the population of the Khmelnytsky region. The results of researches are estimated, conclusions are made. Methods of analysis and synthesis, statistical evaluation and comparison, system and graphical methods, correlation analysis (to identify the impact of socio-economic factors on migration processes), as well as forecasting using neural network algorithms, are used.
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