The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Artificial neural network models for forecasting and decision making
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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
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
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
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
(1991) · Springer eBooks · doi:10.1007/978-3-7091-2840-4 · Cited by 5,095
McClelland, J. L., Rumelhart, D. E., & AU (1987) · doi:10.7551/mitpress/5237.001.0001 · Cited by 3,315
Neural computing: theory and practice
(1989) · Choice Reviews Online · doi:10.5860/choice.27-1569 · Cited by 1,663
(1986) · Signal Processing · doi:10.1016/0165-1684(86)90025-3 · Cited by 1,594
The accuracy of extrapolation (time series) methods: Results of a forecasting competition
Makridakis, S., Andersen, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R., Newton, J., Parzen, E., & Winkler, R. (1982) · Journal of Forecasting · doi:10.1002/for.3980010202 · Cited by 1,462
Harvey, A. C. (1981) · Medical Entomology and Zoology · Cited by 1,144
Cited by
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,377
AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
Rashid, A. B., & Kausik, M. A. K. (2024) · Hybrid Advances · doi:10.1016/j.hybadv.2024.100277 · Cited by 764
How effective are neural networks at forecasting and prediction? A review and evaluation
Adya, M., & Collopy, F. (1998) · Journal of Forecasting · doi:10.1002/(sici)1099-131x(1998090)17:5/6<481::aid-for709>3.0.co;2-q · Cited by 451
Neural networks in business: a survey of applications (1992–1998)
Vellido, A. (1999) · Expert Systems with Applications · doi:10.1016/s0957-4174(99)00016-0 · Cited by 428
Metadata
- Authors
- Hill, T., Marquez, L., O'Connor, M., & Remus, W.
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 1994-06
- Volume
- 10
- Issue
- 1
- Pages
- 5-15
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W1975938969
- Cited by
- 450
- References
- 40
- FWCI
- 12.36
- 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.
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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: Artificial neural network models for forecasting and decision making. https://app.cochat.ai/papers/10.1016/0169-2070(94)90045-0
- The paper
- Hill, T., Marquez, L., O'Connor, M., & Remus, W. (1994). Artificial neural network models for forecasting and decision making. International Journal of Forecasting. https://doi.org/10.1016/0169-2070(94)90045-0
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.
