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Optical implementations have been viewed as optimal for neural networks, in the classical case, due to the low design cost of adding multiple connections (as light passes through light without interacting).
“Moreover optical implementations have been viewed as optimal for neural networks, in the classical case, due to the low design cost of adding multiple connections (as light passes through light without interacting).39”
From Quantum generalisation of feedforward neural networks (2017) · cites this paper as [39]
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- Authors
- Rojas, R.
- Affiliations
- Freie Universität Berlin (DE)
- Corresponding author
- Rojas, Raúl
- ORCID
- Rojas, Raúl
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1996
- OpenAlex
- W4241395986
- Cited by
- 810
- References
- 0
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 24 · 2023: 40 · 2022: 38 · 2021: 50 · 2020: 47 · 2019: 47 · 2018: 61 · 2017: 51 · 2016: 62 · 2015: 53 · 2014: 49 · 2013: 28 · 2012: 35
- FWCI
- 1.07
- 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
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
- Keywords
- artificial neural networks, neural network theory, computational model, computing paradigms
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