Taming Chaos with Physics: Predicting Extreme Events from Sparse Data
Imagine a translator who learns the grammar of a chaotic language from textbook examples and then becomes fluent in real speech, complete with accents and noise. That is how the new KDL method works: first, a neural network is trained on synthetic data generated by the Liénard equation, then it is transferred to real time series where extreme events are rare and unpredictable.