The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
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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
Self-citationMultilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
PE, & Billingsley, P. (1996) · Journal of the American Statistical Association · doi:10.2307/2291440 · Cited by 6,481
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
Schwartz, L. (1966) · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno · Cited by 3,513
Theory of the backpropagation neural network
Hecht-Nielsen (1989) · International Joint Conference on Neural Networks · doi:10.1109/ijcnn.1989.118638 · Cited by 2,222
Proceedings of the International Joint Conference on Neural Networks, 2003.
(2003) · doi:10.1109/ijcnn.2003 · Cited by 1,674
International 1989 Joint Conference on Neural Networks
(1989) · doi:10.1109/ijcnn.1989 · Cited by 596
Hilbert Space Methods for Partial Differential Equations
Showalter, R. E. (1994) · Electronic Journal of Differential Equations · doi:10.58997/ejde.mon.01 · Cited by 562
(1949) · Pure and Applied Mathematics · doi:10.1016/s0079-8169(08)60767-9 · Cited by 524
Cited by
Ensemble methods in machine learning
Dietterich, T. G. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45014-9_1 · Cited by 8,408
Approximation capabilities of multilayer feedforward networks
Hornik, K. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90009-t · Cited by 6,091
Self-citationBest practices for convolutional neural networks applied to visual document analysis
Simard, P. Y., Steinkraus, D., & Platt, J. C. (2005) · Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings. · doi:10.1109/icdar.2003.1227801 · Cited by 2,741
Graph embedding techniques, applications, and performance: A survey
Goyal, P., & Ferrara, E. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.03.022 · Cited by 1,801
Deep Reinforcement Learning: A Survey
Wang, X., Wang, S., Liang, X., Zhao, D., Huang, J., Xu, X., Dai, B., & Miao, Q. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3207346 · Cited by 972
Metadata
- Authors
- Hornik, K., Stinchcombe, M., & White, H.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1990-01
- Volume
- 3
- Issue
- 5
- Pages
- 551-560
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2027197837
- Cited by
- 2,111
- References
- 19
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. https://app.cochat.ai/papers/10.1016/0893-6080(90)90005-6
- The paper
- Hornik, K., Stinchcombe, M., & White, H. (1990). Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks. https://doi.org/10.1016/0893-6080(90)90005-6
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.
