The DOI matches its Crossref record.
Neural Networks
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Integrity signals
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Cites
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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
“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]
Citations
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Items 801–809 of 809
Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Weir, B., Wargan, K., Keller, C. A., et al. (2026) · Earth and Space Science · doi:10.1029/2026ea005031
“In any case, the Bayesian formalism behind DA applies to all forms of dynamical model, including integrated Earth system models, neural networks (Rojas, 1996), series expansions (Lorenz, 1963), and cellular automata (Wolfram, 2001).”
Enhancing Risk Management in Banking Business With Reinforcement Learning Models
Mohanty, A. K., Boddu, L., Sailaja, K., Nirmala, G., Jayanthi, R., & Maram, B. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0553-0.ch014
Millan, A., Tevera-Ruiz, A., Castillo, P., et al. (2026) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim65483.2026.11658116
Taşdemir, B., & Aksoylu, S. (2026) · Tarsus Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · doi:10.56400/tarsusiibfdergisi.1958857
Ganguly, D., Roy, R., Mondal, P., et al. (2026) · Antonie van Leeuwenhoek · doi:10.1007/s10482-026-02423-6
“ANNs are computational models modelled after the biological neural architectures of the human brain, characterized by their ability for adaptation, learning ability, and self-organisation (Rojas 1996).”
Belli, M., & Schmorell, D. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7513376
Approximate Achievability in Event Databases
Parker, A., Simari, G. I., Sliva, A. L., et al. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22152-1_62
Taxonomy of Feature Description Attributes
Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_5
Partial and Random Updating Weights in Error Back Propagation Algorithm
Latifi, N., & Amiri, A. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-27337-7_39
Metadata
- 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
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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