The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
A neural model for category learning
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Citations
Cites
Nearest neighbor pattern classification
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A theory for the acquisition and loss of neuron specificity in visual cortex
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Self-citationArithmetical operations performed by nerve cells
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Cited by
A general regression neural network
Specht, D. F. (1991) · IEEE Transactions on Neural Networks · doi:10.1109/72.97934 · Cited by 4,492
Fuzzy min-max neural networks. I. Classification
Simpson, P. K. (1992) · IEEE Transactions on Neural Networks · doi:10.1109/72.159066 · Cited by 782
Constructive Incremental Learning from Only Local Information
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Neural networks that learn from fuzzy if-then rules
Ishibuchi, H., Fujioka, R., & Tanaka, H. (1993) · IEEE Transactions on Fuzzy Systems · doi:10.1109/91.227388 · Cited by 287
Optimization of the recognition of defects in flat steel products with the cost matrices theory
DuPont, F., Odet, C., & Cartont, M. (1997) · NDT & E International · doi:10.1016/s0963-8695(96)00045-x · Cited by 47
Metadata
- Authors
- Reilly, D. L., Cooper, L. N., & Elbaum, C.
- Venue
- Biological Cybernetics
- Published
- 1982-08
- Volume
- 45
- Issue
- 1
- Pages
- 35-41
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2055913343
- Cited by
- 408
- References
- 25
- FWCI
- 1.22
- 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.
Statistics and arithmetic are recomputed, not judged.
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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.
