The DOI matches its Crossref record.
Multi-Valued and Universal Binary Neurons
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This algorithm marked the commencement of the Deep Learning (DL) discipline, though the term only started to be used in the 1980s in the general context of ML, and in the year 2000 in the specific context of NNs [9].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [9]
In the citing paper
“At the same time, the popularity of DL increased significantly after the term “deep learning” was first introduced in the context of NNs in 2000 [9].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [9]
Citations
Cited by
Sorted by citations
Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036
Application and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003
Artificial intelligence and machine learning for medical imaging: A technology review
Montero, A. M. B., Javaid, U., Valdés, G., Nguyen, D. T. D., Desbordes, P., Macq, B. M. M., Willems, S., Vandewinckele, L., Holmström, M., Löfman, F., et al. (2021) · Physica Medica · doi:10.1016/j.ejmp.2021.04.016 · Cited by 510
“[22] in the 2000s, and refers to a subset of ML algorithms, with the particularity of being organized hierarchically, on multiple levels, hence the term “deep”, to automatically extract meaningful features from data.”
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Zhong, X. Q., & Enke, D. L. (2019) · Financial Innovation · doi:10.1186/s40854-019-0138-0 · Cited by 299
“ANNs using different deep learning algorithms are categorized as deep neural networks (DNNs), which have been applied to many important fields, such as automatic speech recognition, image recognition, natural language processing, drug discovery and toxicology, customer relationship management, recommendation systems,…”
MethodInfluentialAizenberg, I. N., & Moraga, C. (2006) · Soft Computing · doi:10.1007/s00500-006-0075-5 · Cited by 213
Self-citation
Metadata
- Authors
- Aizenberg, I. N., Aizenberg, N. N., & Vandewalle, J.
- Affiliations
- KU Leuven (BE)
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 2000
- OpenAlex
- W2487295360
- Cited by
- 171
- References
- 0
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 5 · 2022: 11 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 10 · 2017: 4 · 2016: 1 · 2015: 3 · 2014: 10 · 2013: 14 · 2012: 13
- FWCI
- 1.32
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- multi-valued neurons, complex arithmetic, artificial neural networks, neuron models
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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