Deep Learning's Ability to Predict Chaos in a Chaotic System

This paper explores the use of deep learning to predict the evolution of chaotic systems, thereby addressing the uncertainty generated by the butterfly effect identified a century ago. We aim to integrate advanced artificial intelligence techniques to improve the accuracy of long-term predictions in various dynamic systems, such as weather and economics. Recognized by experts as an innovative approach, our work seeks to demonstrate how deep learning can prevent potential disasters by anticipating the chaotic behavior of these systems.