Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.
- DOI
- 10.1016/j.neunet.2023.10.054
- Published
- 2024 Feb
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2023.10.054,
title = {Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.},
author = {Wikner A and Harvey J and Girvan M and Hunt BR and Pomerance A and Antonsen T and Ott E},
year = {2024},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2023.10.054},
url = {https://doi.org/10.1016/j.neunet.2023.10.054}
}RIS
TY - JOUR TI - Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. AU - Wikner A AU - Harvey J AU - Girvan M AU - Hunt BR AU - Pomerance A AU - Antonsen T AU - Ott E PY - 2024 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2023.10.054 UR - https://doi.org/10.1016/j.neunet.2023.10.054 ER -
APA
A, W., J, H., M, G., BR, H., A, P., T, A., & E, O. (2024). Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2023.10.054
Source records
- pubmed · retrieved 2026-09-27T12:03:16.735Z