Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM)

Carlo Manzo

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DOI: 10.1088/1751-8121/ac13dd
Published: 2021-07-29
Container: Journal of Physics A: Mathematical and Theoretical
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1751-8121/ac13dd,
  title = {Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM)},
  author = {Carlo Manzo},
  year = {2021},
  journal = {Journal of Physics A: Mathematical and Theoretical},
  doi = {10.1088/1751-8121/ac13dd},
  url = {https://doi.org/10.1088/1751-8121/ac13dd}
}

RIS

TY  - JOUR
TI  - Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM)
AU  - Carlo Manzo
PY  - 2021
JO  - Journal of Physics A: Mathematical and Theoretical
DO  - 10.1088/1751-8121/ac13dd
UR  - https://doi.org/10.1088/1751-8121/ac13dd
ER  -

APA

Manzo, C. (2021). Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM). Journal of Physics A: Mathematical and Theoretical. https://doi.org/10.1088/1751-8121/ac13dd

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crossref · retrieved 2026-09-26T07:20:28.224Z