generator

The purpose of the work is to analyze the features of generative adversarial networks. The object of research is the process of machine learning algorithmization. The subject of the research is mathematical methods used in the generation of semantically related text. This article explores the architecture and mathematical justification of such a type of generative models as generative adversarial networks. Generative adversarial networks are a powerful tool in the field of artificial intelligence, capable of generating realistic data, including photos, videos, sounds, etc.

The efficiency of operation of power units of powerful thermal and nuclear power plants is largely determined by the reliability of power supply systems for their own needs. The main requirements for such systems are maintaining the required voltage level on the busbars of the distribution charters of their own needs and reduction of the time of forced power outages. Ensuring these requirements by the Ukrainian energy sector is complicated by the fact that most of its power plants are operated for a long time, and their equipment is significantly worn out.