AUTOMATION THE PROCESSES OF PATTERN RECOGNITION

Анотація

Time series modelling is a dynamic field of research that has attracted the attention of scientists over the past decades, the main goal of researchers is to carefully collect. The studying past observations of time series to develop a suitable model that describes the structure inherent in the to develop an appropriate model that describes the inherent structure of the the time series. This model is then used to generate future data for the series, i.e. forecasting. Thus, time series forecasting can be described as the act of predicting the future by understanding the past.