Abstract
The article is devoted to the analysis and study of increasing the efficiency of gold mining enterprises. The goal is to develop a tool for quantitative analysis and forecasting of key factors affecting the efficiency of gold mining enterprises. The methodological basis of the work is scientific and practical research methods: the use of economic principles, the combination of econometric models and artificial intelligence algorithms, as well as the results of research by Chinese scientists on the development of gold mining enterprises. During the study, the most significant factors affecting the efficiency of gold mining enterprises were selected. In accordance with the economic principles of optimal resource allocation and efficiency maximization, the creation of a neural network model, using Chinese gold mining enterprises as an example, contributes to the formation of a data set for forecasting and analyzing critical factors affecting the efficiency of the enterprise. By means of the created neural network with fuzzy logic, complex relationships between various factors affecting the efficiency of the enterprise are revealed, and important reference information for enterprises on optimizing resource allocation is obtained. By constructing a neural network forecasting model, it is possible to analyze the future trends of key factors affecting the operating efficiency of an enterprise. Quantitative forecasting and evaluation of each key factor allows enterprises to plan the development and use of resources in advance, and achieve resource allocation with optimal efficiency. It is concluded that the key factors affecting the operating efficiency of gold mining companies are: cost of sales, investment in geological exploration, balance reserves, global demand, operating income, capital expenditure, and investment in social projects. As the global demand for gold continues to grow, Chinese gold mining companies have been constantly increasing their investment in geological exploration and capital expenditure, achieving a continuous increase in core reserves and fully meeting annual production needs.
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