The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
Overview
The claims and statistics of this paper haven’t been checked yet.
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Claims the paper makes
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Self-check
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The self-check needs the paper’s full text.
Citations
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Cited by
Hubregtsen, T., Pichlmeier, J., Stecher, P., & Bertels, K. (2021) · Quantum Machine Intelligence · doi:10.1007/s42484-021-00038-w · Cited by 135
Metadata
- Authors
- Mirjalili, S., Mohd Hashim, S. Z., & Moradian Sardroudi, H.
- Venue
- Applied Mathematics and Computation
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 218
- Issue
- 22
- Pages
- 11125-11137
- ISSN
- 0096-3003 (ISSN-L)
- OpenAlex
- W2050546928
- Cited by
- 505
- References
- 1
- FWCI
- 28.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
