Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables.

Fleddermann L, Herzog S, Parlitz U

DOI: 10.1063/5.0258250
Published: 2025 May 1
Container: Chaos (Woodbury, N.Y.)
Publisher: Not recorded
Open access: no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1063/5.0258250,
  title = {Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables.},
  author = {Fleddermann L and Herzog S and Parlitz U},
  year = {2025},
  journal = {Chaos (Woodbury, N.Y.)},
  doi = {10.1063/5.0258250},
  url = {https://doi.org/10.1063/5.0258250}
}

RIS

TY  - JOUR
TI  - Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables.
AU  - Fleddermann L
AU  - Herzog S
AU  - Parlitz U
PY  - 2025
JO  - Chaos (Woodbury, N.Y.)
DO  - 10.1063/5.0258250
UR  - https://doi.org/10.1063/5.0258250
ER  -

APA

L, F., S, H., & U, P. (2025). Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables.. Chaos (Woodbury, N.Y.). https://doi.org/10.1063/5.0258250

Source records

pubmed · retrieved 2026-09-26T23:55:20.607Z
europe-pmc · retrieved 2026-09-26T23:55:20.622Z