The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Knowledge-based artificial neural networks
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Citations
Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Learning Internal Representations by Error Propagation
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985) · doi:10.21236/ada164453 · Cited by 16,172
The role of theories in conceptual coherence.
Murphy, G. L., & Medin, D. L. (1985) · Psychological Review · doi:10.1037//0033-295x.92.3.289 · Cited by 2,792
The Cascade-Correlation learning architecture
Fahlman, S. E., & Lebiere, C. J. (2018) · doi:10.1184/r1/6610403 · Cited by 2,372
Knowledge acquisition via incremental conceptual clustering
Fisher, D. H. (1987) · Machine Learning · doi:10.1007/bf00114265 · Cited by 1,991
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
White, B. W., & Rosenblatt, F. (1963) · The American Journal of Psychology · doi:10.2307/1419730 · Cited by 1,792
Representation of Events in Nerve Nets and Finite Automata
Kleene, S. C. (1956) · Automata Studies. (AM-34) · doi:10.1515/9781400882618-002 · Cited by 1,655
Learning Logical Definitions from Relations
Quinlan, J. R. (1990) · Machine Learning · doi:10.1023/a:1022699322624 · Cited by 1,644
A model of inexact reasoning in medicine
Shortliffe, E. H., & Buchanan, B. G. (1975) · Mathematical Biosciences · doi:10.1016/0025-5564(75)90047-4 · Cited by 1,447
Cited by
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570
Richardson, M., & Domingos, P. (2006) · Machine Learning · doi:10.1007/s10994-006-5833-1 · Cited by 2,676
Rokach, L. (2010) · Artificial Intelligence Review · doi:10.1007/s10462-009-9124-7 · Cited by 2,657
Settles, B. (2012) · Synthesis Lectures on Artificial Intelligence and Machine Learning · doi:10.2200/s00429ed1v01y201207aim018 · Cited by 605
Adaptive Probabilistic Networks with Hidden Variables
Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997) · Machine Learning · doi:10.1023/a:1007421730016 · Cited by 377
Metadata
- Authors
- Towell, G. G., & Shavlik, J. W.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1994-10
- Volume
- 70
- Issue
- 1-2
- Pages
- 119-165
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W1989789052
- Cited by
- 746
- References
- 59
- FWCI
- 19.35
- 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: Knowledge-based artificial neural networks. https://app.cochat.ai/papers/10.1016/0004-3702(94)90105-8
- The paper
- Towell, G. G., & Shavlik, J. W. (1994). Knowledge-based artificial neural networks. Artificial Intelligence. https://doi.org/10.1016/0004-3702(94)90105-8
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.
