ABOUT THE POSSIBILITY FOR THE STUDY OF TIME SERIES OF ROAD TRAFFIC
The article discusses the possibility of using arti cial neural networks to analyze the tra c situation. The article highlights the most e ective method for classifying time series. For analytical work, an important stage is the classi cation of values, required quantities that vary over time. To justify the choice, a comparison of simple classi cation methods and neural networks was carried out. Arti cial neural networks in the mathematical sense are a graph of calculations.