Main Article Content
The rapid development of nuclear power and industry, has led to the need to address the issues of waste disposal, which are sources of ionizing radiation and can be hazardous to human health. In this regard, the development of automated systems for preliminary assessment of the place of future disposal of radioactive waste (RW) and the width of the sanitary protection zone (SPZ), to avoid falling outside residential areas, is an urgent task. The purpose of this study was to develop algorithms for solving the task of processing and analyzing information for modeling the operation of the radioactive waste disposal system, as well as to test the performance of these algorithms in practice. On the basis of artificial intelligence (neural network) the "Computer program for automation of determination of dimensions of sanitary-protective zones (SPZ) and surveillance zones for storage of sources of ionizing radiation in places of burial/storage of radioactive wastes" was developed. The main advantage of the developed neural network is that it can identify non-obvious attributes for determining the size of sanitary protection zones (SPZ). These algorithms do not rely on the existing knowledge about the influence of the analyzed indicators, which makes them objective and allows to use them to create models of the state of storage of radiation sources.