Constructing the MRN: Identifying Repetitive Patterns in Multivariate Time Series

The MRN is constructed by identifying repetitive patterns in phase space through the mapping of multivariate time series. This process involves analyzing the time-dependent relationships between multiple variables, effectively capturing the complex dynamics of the system. By identifying these recurring patterns, the MRN offers valuable insights into the underlying structure and behavior of the system, enabling more accurate predictions and a deeper understanding of its evolution.