Back to Search
Start Over
Reconstructing Attractors with Autoencoders
- Publication Year :
- 2024
-
Abstract
- We show how to train an autoencoder to reconstruct an attractor from recorded footage, preserving the topology of the underlying phase space. This is explicitly demonstrated for the classic finite-amplitude Lorenz atmospheric convection problem.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2404.16855
- Document Type :
- Working Paper