Multi-Valued and Universal Binary Neurons
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This algorithm marked the commencement of the Deep Learning discipline, though the term only started to be used in the 1980s in the general context of ML and in 2000 in the specific context of NNs.
“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]
The popularity of DL increased significantly after the term deep learning was first introduced in the context of NNs in 2000.
“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]
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- 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
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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.
What counts as a claim ›How we measure confidence ›How we check this ›
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