Correlational research of investment potential indicators of Ukraine on the basis of maps of self-organization

The approach to studying and analyzing the relationship between indicators of investment potential of Ukraine is considered. Mathematical model is constructed. It is based on using of artificial neural networks - namely Kohonen self-organizing maps. The study singles out seven clusters, each of which describes the relationship between different groups of indicators in the structure of the investment potential of Ukraine. The analysis of the dynamics of change and relationship based on self- built map is carried out. A choice of normalization method of input parameters, according to which each component of the input vector is divided into length is proposed. The study proved its adequacy and effectiveness within this topic. The use of the mentioned approach for the prediction performance of the investment potential of Ukraine in order to support decision-making is offered.