The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Kolmogorov's theorem and multilayer neural 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
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
Approximation capabilities of multilayer feedforward networks
Hornik, K. (1991) · Neural Networks · doi:10.1016/0893-6080(91)90009-t · Cited by 6,091
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
(2017) · Approximation Techniques for Engineers · doi:10.1201/9781315205007-4 · Cited by 1,155
Theory of the backpropagation neural network
Hecht-Nielsen, R. (1988) · Neural Networks · doi:10.1016/0893-6080(88)90469-8 · Cited by 472
Theory of the Back Propagation Neural Network
Hecht-Nielsen, R. (1989) · International Joint Conference on Neural Networks (IJCNN) · Cited by 324
On the Structure of Continuous Functions of Several Variables
Sprecher, D. A. (1965) · Transactions of the American Mathematical Society · doi:10.1090/s0002-9947-1965-0210852-x · Cited by 290
Stinchcombe, & White (1989) · International Joint Conference on Neural Networks · doi:10.1109/ijcnn.1989.118640 · Cited by 251
Cited by
Introduction to multi-layer feed-forward neural networks
Svozil, D., Kvasnicka, V., & Pospichal, J. (1997) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(97)00061-0 · Cited by 1,600
Approximation theory of the MLP model in neural networks
Pinkus, A. (1999) · Acta Numerica · doi:10.1017/s0962492900002919 · Cited by 1,529
Elements of Artificial Neural Networks
Mehrotra, K., Mohan, C., & Ranka, S. (1996) · The MIT Press eBooks · doi:10.7551/mitpress/2687.001.0001 · Cited by 912
Learning capability and storage capacity of two-hidden-layer feedforward networks
Huang, G.-B. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.809401 · Cited by 810
Huang, G.-B., & Babri, H. A. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/72.655045 · Cited by 538
Metadata
- Authors
- Kůrková, V.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1992-01
- Volume
- 5
- Issue
- 3
- Pages
- 501-506
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2151029520
- Cited by
- 747
- References
- 13
- FWCI
- 11.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kůrková, V. (1992). Kolmogorov's theorem and multilayer neural networks. Neural Networks. https://doi.org/10.1016/0893-6080(92)90012-8
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.
