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Multi-Valued and Universal Binary Neurons
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“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]
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“[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.”
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“The derivation involves proving local analyticity of exponential functions and their ratios, thus enabling the local analyticity for transcendental nonlinear activation functions in H.”
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“The survey of the DL has been added to the history on the field of ML in 1986, later it has been introduced to the ANN in 2000 [10] [11].”
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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
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