| ITI əməkdaşlarının elmi işləri - məqalə |
| Biblioqrafik təsvir | |
| Aliyev , A.G. Issues of Application of Machine Learning Methods in Forecasting the Formation of Prospective Sectors of the New Generation Economy / A.G. Aliyev , R.O. Shahverdiyeva // Artificial Societies and Information Technologies. Special Issue.. - 2024. - N: Vol.19 Special Issue. - P. 1-19. | |
| Annotasiya | |
| The article is devoted to the application of machine learning methods in predicting the formation of prospective sectors of the new generation economy. In the conditions of modern digital transformations, it has been shown that the replacement of the traditional existing economy with new generation economic models is one of the world s priority development directions. The relevance of the application of Machine learning (ML) methods, one of the artificial intelligence (AI) technologies, in improving the processes of formation and development of the traditional sectors of the economy, and in forecasting its new generation perspective sectors is substantiated. An analysis of scientific research works related to the problem was carried out. Digital transformation and technologies, sustainability and sustainability, greening technologies and circularity, joint use, smart decision-making and management, platforms and ecosystems, innovative entrepreneurship, research and economic development, inclusion, and social development, Industry 5.0 platform technologies of the formation of the new generation technological economy. the main basic principles such as transition etc. have been worked out and the problems of its formation have been analyzed. The features and perspectives of the application of machine learning methods in forecasting the prospective sectors of the new generation economy have been explained. Classification features of machine learning methods are explained and its models are shown. The structural scheme of the stages of economic development forecasting has been developed and information about its methods has been provided. A comparative analysis of machine learning methods applied in forecasting was carried out. The structural scheme of the application stages of the machine learning method in the forecasting process has been developed. Relevant recommendations on the application of Industry 4.0 platform technologies were given for forecasting the formation of prospective sectors of the new generation economy based on real data. | |
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