[Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization

Arfan Ali Nagra, Tahir Alyas, Muhammad Hamid, Nadia Tabassum, Aqeel Ahmad

DOI: 10.1155/2022/2636515
Published: 2022-01
Container: BioMed Research International
Publisher: Wiley
Open access: unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. 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
serious concernRetraction Watch retraction: 1 retraction notice matched this DOI. 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
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1155/2022/2636515,
  title = {[Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization},
  author = {Arfan Ali Nagra and Tahir Alyas and Muhammad Hamid and Nadia Tabassum and Aqeel Ahmad},
  year = {2022},
  journal = {BioMed Research International},
  doi = {10.1155/2022/2636515},
  url = {https://doi.org/10.1155/2022/2636515}
}

RIS

TY  - JOUR
TI  - [Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization
AU  - Arfan Ali Nagra
AU  - Tahir Alyas
AU  - Muhammad Hamid
AU  - Nadia Tabassum
AU  - Aqeel Ahmad
PY  - 2022
JO  - BioMed Research International
DO  - 10.1155/2022/2636515
UR  - https://doi.org/10.1155/2022/2636515
ER  -

APA

Nagra, A. A., Alyas, T., Hamid, M., Tabassum, N., & Ahmad, A. (2022). [Retracted] Training a Feedforward Neural Network Using Hybrid Gravitational Search Algorithm with Dynamic Multiswarm Particle Swarm Optimization. BioMed Research International. https://doi.org/10.1155/2022/2636515

Source records

crossref · retrieved 2026-09-25T11:42:18.935Z