Hybrid forecasting of chaotic dynamical systems
We work on prediction methods for chaotic dynamical systems by integrating knowledge-based models (KBM) and reservoir computing (RC) techniques within the framework of physics-informed machine learning. The study focuses primarily on the Kuramoto-Sivashinsky (KS) equation, a model emblematic of chao...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175572 |