The DOI matches its Crossref record.
Artificial neural networks
Abstract
Artificial neural networks are explained, and the different types are described. Three different tasks for which they are suitable are discussed. They are pattern classification and associative memory, self-organization and feature extraction, and optimization.>
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Citations
Cited by
An experimental unification of reservoir computing methods
Verstraeten, D., Schrauwen, B., D’Haene, M., & Stroobandt, D. (2007) · Neural Networks · doi:10.1016/j.neunet.2007.04.003 · Cited by 1,135
Lam, K. C., Yu, C. Y., & Lam, K. Y. (2008) · Journal of Property Research · doi:10.1080/09599910902837051 · Cited by 68
Metadata
- Authors
- Moore, K. L.
- Venue
- IEEE Potentials
- Published
- 1992-02
- Volume
- 11
- Issue
- 1
- Pages
- 23-28
- ISSN
- 0278-6648 (ISSN-L)
- OpenAlex
- W3141386157
- Cited by
- 319
- References
- 0
- FWCI
- 40.69
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Artificial neural networks. https://app.cochat.ai/papers/10.1109/45.127697
- The paper
- Moore, K. L. (1992). Artificial neural networks. IEEE Potentials. https://doi.org/10.1109/45.127697
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.
