Chaos theory meets deep learning: A new approach to time series forecasting

Bowen Jia, Huyu Wu, Kaiyu Guo

Abstract: Highlights•Chen system boosts deep learning for precise time series forecasting.•Chaotic models outperform traditional deep learning in accuracy and robustness.•Models save resources and adapt better across diverse datasets.•Promising results in finance, power systems, and weather forecasting.