![]() ![]() Therefore, the second project goal is to developĪ method for obtaining a sufficiently large set of synthetic data for their training and testing. Neural networks, however, require large training sets. Techniques of artificial intelligence and neural networks can find new relationships between the input and the To describe the processes of pollution dispersion, deposition and chemical interaction adequately by standard Artificial intelligence is the logical choice, because so far we have not been able, due to their complexity, Obtained by this method will help to optimize the design of insulators and improve the quality of maintenance during It will help to prevent outages on 110 kV and 400 kV overhead lines caused by flashovers. Techniques of artificial intelligence, cloud computing and data integration and was not yet applied in Slovak power The main goal of project ARIEN is to develop & verify a new innovative method for the estimation of local pollutionĭeposition for power industry needs based on the data collected by the SHMU Institute. ![]() Analysis of environmental influences on power industry equipment by the methods of artificial intelligence and cloud computing (ARIEN)Īnalýza vplyvu prostredia na zariadenia energetického priemyslu metódami umelej inteligencie a cloudového počítania ![]()
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