Study on replication of a nonlinear dynamical system’s trajectory using a machine learning technique
Faculty of Engineering
Research output: Article
researchs.abstract
Nonlinear system exhibits various solution orbits depending on varying parameters. It is important to detect the system's behavior. In some cases, however, the mathematical modeling of the dynamic is completely unknown. By using a recent advance in the Machine Learning technique named Reservoir Computing, we replicate the solution orbits based only on data collected along with time evolution. We numerically confirm the effectiveness of Reservoir Computing in time series prediction.
Overview
Type
Article
Publication year
2020
Original language
English
Published Journal
IOP Conference Series: Materials Science and Engineering
Classification
ISI Indexed
ISSN index
1757-8981
Access Document Overview
To read the full-text of this publication, you can request a copy directly from the authors.