PETRI NETS FOR MODELING OF AIN TRAINING
The article is discussed artificial neural networks, which are mathematical models of natural (biological) neural networks. It also describes some of the problems associated with their training, and one of the possible solutions using specially selected tests. The author describes the problems of modeling artificial intelligence, which is in demand today. Understanding the processes involving artificial intelligence (AI) in systems is an important condition for their effective use in practice. In this sense, the modeling process using Petri nets can reveal such features. To process the simulation results, a simulation method called Petri nets was used.