The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Single-layer learning revisited: a stepwise procedure for building and training a neural network
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Citations
Cites
Phoneme recognition using time-delay neural networks
Waibel, A., Hanazawa, T., Hinton, G., Shikano, K., & Lang, K. J. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.21701 · Cited by 2,643
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LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Support vector machines in remote sensing: a review
Mountrakis, G., Im, J., & Ogole, C. (2011) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2010.11.001 · Cited by 3,473
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Cervantes, J., Garcia-Lamont, F., Rodríguez-Mazahua, L., & Lopez, A. (2020) · Neurocomputing · doi:10.1016/j.neucom.2019.10.118 · Cited by 2,381
Emotion recognition system using short-term monitoring of physiological signals
Kim, K. H., Bang, S. W., & Kim, S. R. (2004) · Medical & Biological Engineering & Computing · doi:10.1007/bf02344719 · Cited by 944
Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
Pasolli, E., Truong, D. T., Malik, F., Waldron, L., & Segata, N. (2016) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004977 · Cited by 659
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
Wei, Y., Li, Y., Xu, M., & Huang, W. (2019) · Entropy · doi:10.3390/e21040409 · Cited by 232
Pérez-Hernández, F., Tabik, S., Lamas, A., Olmos, R., Fujita, H., & Herrera, F. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.105590 · Cited by 196
Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges
Patel, K., Mehta, D., Mistry, C., Gupta, R., Tanwar, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2993803 · Cited by 157
Classification of Electromyographic Hand Gesture Signals using Machine Learning Techniques
Jia, G., Lam, H.-K., Liao, J., & Wang, R. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.03.009 · Cited by 89
Khezri, M., Firoozabadi, M., & Sharafat, A. R. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.07.006 · Cited by 89
Agarwal, K., Shivpuri, R., Zhu, Y., Chang, T.-S., & Huang, H. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.12.026 · Cited by 54
Zhutovsky, P., Vijverberg, E. G. B., Bruin, W. B., Thomas, R. M., Wattjes, M. P., Pijnenburg, Y. A. L., van Wingen, G. A., & Dols, A. (2019) · Journal of Alzheimer's Disease · doi:10.3233/jad-181004 · Cited by 20
Multi-modal panoramic 3D outdoor datasets for place categorization
Jung, H., Oto, Y., Mozos, O. M., Iwashita, Y., & Kurazume, R. (2016) · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2016.7759669 · Cited by 16
Metadata
- Authors
- Knerr, S., Personnaz, L., & Dreyfus, G.
- Venue
- Neurocomputing
- Publisher
- Springer Berlin Heidelberg
- Published
- 1990
- Pages
- 41-50
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W34176136
- Cited by
- 828
- References
- 1
- FWCI
- 7.32
- Type
- book chapter
- 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.
