The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Creating artificial neural networks that generalize
Overview
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Citations
Cites
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
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
On the approximate realization of continuous mappings by neural networks
Funahashi, K.-I. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90003-8 · Cited by 4,206
Cited by
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,377
Introduction to multi-layer feed-forward neural networks
Svozil, D., Kvasnicka, V., & Pospichal, J. (1997) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(97)00061-0 · Cited by 1,600
Training with Noise is Equivalent to Tikhonov Regularization
Bishop, C. M. (1995) · Neural Computation · doi:10.1162/neco.1995.7.1.108 · Cited by 1,325
Yesilnacar, E., & Topal, T. (2005) · Engineering Geology · doi:10.1016/j.enggeo.2005.02.002 · Cited by 870
Semi-Supervised Learning with Ladder Networks
Rasmus, A., Harri Valpola, B., Honkala, M., Berglund, M., & Raiko, T. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1507.02672 · Cited by 527
Metadata
- Authors
- Sietsma, J., & Dow, R. J. F.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1991-01
- Volume
- 4
- Issue
- 1
- Pages
- 67-79
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2070665556
- Cited by
- 597
- References
- 3
- FWCI
- 26.78
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Creating artificial neural networks that generalize. https://app.cochat.ai/papers/10.1016/0893-6080(91)90033-2
- The paper
- Sietsma, J., & Dow, R. J. F. (1991). Creating artificial neural networks that generalize. Neural Networks. https://doi.org/10.1016/0893-6080(91)90033-2
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.
