predicting

In the paper, the research problem of cybersecurity in Ukraine and constituent elements of the cybersecurity global index were considered. The study object is the methods of predicting the indicator of the cybersecurity global index in Ukraine based on the trend extrapolation methods using one dynamic sequence. The purpose of the work is to apply predicting methods to build a prediction of the global cybersecurity index in Ukraine.

In this paper we propose the methodology of team radial-basis networks synthesis for solving the problem of protein secondary structure prediction using clonal selection algorithm. To solve such problem the method of "one against all" have been used.  The carried out computational experiments on test sample have shown that the prediction accuracy allows to achieve up to 72%, indicating a high accuracy of the proposed method.