A characteristic of a time series where statistical properties such as mean and variance change over time, complicating analysis and forecasting. Outliers: Data points that differ significantly ...

Fuzzy time series forecasting models are increasingly being utilized to predict future values in various domains, including finance, healthcare, and industrial processes. These models leverage the ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...