The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Multilayer perceptrons for classification and regression
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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
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
An introduction to computing with neural nets
Lippmann, R. (1987) · IEEE ASSP Magazine · doi:10.1109/massp.1987.1165576 · Cited by 7,825
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
Pattern classification and scene analysis
Chien, Y. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100577 · Cited by 3,398
The Cascade-Correlation learning architecture
Fahlman, S. E., & Lebiere, C. J. (2018) · doi:10.1184/r1/6610403 · Cited by 2,372
Adaptive pattern recognition and neural networks
(1989) · Choice Reviews Online · doi:10.5860/choice.26-6311 · Cited by 2,313
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Kirk, D., Catal, C., & Tekinerdogan, B. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104365 · Cited by 238
DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations
Hu, J., Gao, J., Fang, X., Liu, Z., Wang, F., Huang, W., Wu, H., & Zhao, G. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac302 · Cited by 65
Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2
Zhu, C., Cao, S., Shang, T., Guo, J., Su, A., Li, C., & Duan, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf202 · Cited by 13
Improved Automated Classification of Sentences in Data Science Exercises
Angelone, A. M., Galassi, A., & Vittorini, P. (2022) · Lecture Notes in Networks and Systems · doi:10.1007/978-3-030-86618-1_2 · Cited by 10
A GPT-Based Approach for Sentiment Analysis and Bakery Rating Prediction
Magdaleno, D., Montes, M., Estrada, B., & Ochoa-Zezzatti, A. (2024) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-51940-6_7 · Cited by 7
Metadata
- Authors
- Murtagh, F.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 1991-07
- Volume
- 2
- Issue
- 5-6
- Pages
- 183-197
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2091085232
- Cited by
- 1,014
- References
- 25
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- Murtagh, F. (1991). Multilayer perceptrons for classification and regression. Neurocomputing. https://doi.org/10.1016/0925-2312(91)90023-5
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.
