A Mathematical Model for Predicting Complex Dynamic Systems Using Hybrid Computational Approaches
Hybrid computational models can improve prediction when governing equations are incomplete, but their advantages are often evaluated on isolated systems and without simultaneous assessment of accuracy, stability, interpretability, and uncertainty. This study develops a modular hybrid mathematical model that combines a...