The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
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Citations
Cites
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
Cited by
A survey of the recent architectures of deep convolutional neural networks
Khan, A., Sohail, A., Zahoora, U., & Qureshi, A. S. (2020) · Artificial Intelligence Review · doi:10.1007/s10462-020-09825-6 · Cited by 3,137
Federated learning on non-IID data: A survey
Zhu, H., Xu, J., Liu, S., & Jin, Y. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.07.098 · Cited by 1,062
Qi, X., Chen, G., Li, Y., Cheng, X., & Li, C. (2019) · Engineering · doi:10.1016/j.eng.2019.04.012 · Cited by 529
Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems
Beucler, T., Pritchard, M., Rasp, S., Ott, J., Baldi, P., & Gentine, P. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.098302 · Cited by 451
Shrestha, Y. R., Krishna, V., & von Krogh, G. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.068 · Cited by 331
Metadata
- Authors
- Gardner, M. W., & Dorling, S. R.
- Venue
- Atmospheric Environment
- Publisher
- Elsevier BV
- Published
- 1998-08
- Volume
- 32
- Issue
- 14-15
- Pages
- 2627-2636
- ISSN
- 1352-2310 (ISSN-L)
- OpenAlex
- W1977177161
- Cited by
- 3,324
- References
- 1
- FWCI
- 13.13
- 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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- CoChat. (2026). Citation check: Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. https://app.cochat.ai/papers/10.1016/s1352-2310(97)00447-0
- The paper
- Gardner, M. W., & Dorling, S. R. (1998). Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. Atmospheric Environment. https://doi.org/10.1016/s1352-2310(97)00447-0
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.
