The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Optimization method based extreme learning machine for classification
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
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
Cited by
A review on extreme learning machine
Wang, J., Lu, S., Wang, S.-H., & Zhang, Y.-D. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11007-7 · Cited by 572
Gumaei, A., Hassan, M. M., Hassan, M. R., Alelaiwi, A., & Fortino, G. (2019) · IEEE Access · doi:10.1109/access.2019.2904145 · Cited by 484
Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects
Angelopoulos, A., Michailidis, E. T., Nomikos, N., Trakadas, P., Hatziefremidis, A., Voliotis, S., & Zahariadis, T. (2019) · Sensors · doi:10.3390/s20010109 · Cited by 365
Classification of BGP anomalies using decision trees and fuzzy rough sets
Li, Y., Xing, H.-J., Hua, Q., Wang, X.-Z., Batta, P., Haeri, S., & Trajkovic, L. (2014) · 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC) · doi:10.1109/smc.2014.6974096 · Cited by 36
A review of computational intelligence techniques in coral reef-related applications
Salcedo-Sanz, S., Cuadra, L., & Vermeij, M. J. A. (2016) · Ecological Informatics · doi:10.1016/j.ecoinf.2016.01.008 · Cited by 27
Zhu, J., & Li, S. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2024.01.034 · Cited by 11
Zhu, J., & Li, S. (2025) · Asian Journal of Control · doi:10.1002/asjc.3411 · Cited by 1
Metadata
- Authors
- Huang, G.-B., Ding, X., & Zhou, H.
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 74
- Issue
- 1-3
- Pages
- 155-163
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2157595416
- Cited by
- 869
- References
- 2
- FWCI
- 45.23
- 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.
Statistics and arithmetic are recomputed, not judged.
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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.
