Constantly increasing the level of competition requires manufacturers of goods and services to individualize their products. Considering this factor, the brand takes on a new level of perception, a level of the strategic asset of the company, which allows evaluating the value of the company. With the pursuit of competitiveness and modernity, domestic companies have only in the last few years begun to view the brand as an integral part of their business, capable of generating additional profits at the expense of increased consumer loyalty. However, there are currently no standard methods for evaluating brand value, and there are some disadvantages to applying them. The article deals with modern research methods of the Interbrand and V-RATIO brand. It is revealed that the results of the calculations by different methods differ depending on the set goal: long-term or short-term costs. 19 brand evaluation criteria are considered. We propose our conceptual model of brand value estimation based on a closed system of factor analysis and modeling. The impact of the criteria on the choice of alternatives for choosing brand value strategies is suggested to be found by the Saati hierarchy analysis method. To enhance the adaptive properties of the selected criteria, it is proposed to use the mechanism of alternative strategies for increasing brand value by incorporating the Kohonen neural network process algorithm. The structure of hierarchies of influence of defined criteria on the brand development scenarios was constructed. Calculations were made by the method of analysis of hierarchies in the author's developed system, and it was found that having the resources to increase only one criterion of brand development would be the best development of leadership or internationality of the company. Based on the calculations neural network in the MATLAB, it was found that enterprise, which was researched, needed to pay attention to advertising costs or to increase brand value.

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As a result of research, the concept of a flexible evolutionary model is proposed, which with the help of machine learning allows obtaining the most successful strategy for the development of human capital. The proposed conceptual and methodological approach to machine learning of the process of assessing human capital of enterprises, taking into account the cognitive psychology of man and reflective attitudes in the human environment, can increase the effectiveness of decision-making in the field of human capital development management. The training involves indicators of return on investment in the individual, in the types of components of human capital, which are characterized by properties (creativity, competence, purposefulness, communication, motivation), where between their varieties there are appropriate reflective relationships. The main difficulty of this approach to the choice of alternative solutions for finding options for the use of human capital is the correct selection of indicators of significance (return) of contributions to the development of types of human capital, on the basis of which cycles occur of systemic learning. This approach can simplify the search for and developments of human capital development strategies, present alternative ways, and simplify management decisions.