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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/175572 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |