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The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-642-24955-6_66

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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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?

Citations

Cites

Show all 24 references

Research works printed but not linked: 1

  1. Helstrom, C.W.: Elements of Signal Detection and Estimation. Prentice Hall, New Jersey (1995)

Cited by

See all 65

Metadata

Authors
Amin, M. F., Amin, M. I., Al-Nuaimi, A. Y. H., & Murase, K.
Affiliations
University of Fukui (JP)
Corresponding author
  • Amin, Md. Faijul
  • Amin, Muhammad Ilias
  • Murase, Kazuyuki
Venue
Lecture Notes in Computer Science
Published
2011
Volume
7062
Pages
550-559
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2105737828
Cited by
65
References
24
Citations by year
2026: 5 · 2025: 4 · 2024: 8 · 2023: 8 · 2022: 6 · 2021: 1 · 2020: 1 · 2019: 5 · 2018: 6 · 2017: 6 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 1 · 2012: 4
FWCI
1.85
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • Lecture notes in computer science
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Keywords
complex-valued neural networks, Wirtinger calculus, gradient descent, Levenberg-Marquardt algorithm, parameter optimization, feedforward neural networks

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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.

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How to cite

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This page
CoChat. (2026). Citation check: Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks. https://app.cochat.ai/papers/10.1007/978-3-642-24955-6_66
The paper
Amin, M. F., Amin, M. I., Al-Nuaimi, A. Y. H., & Murase, K. (2011). Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-24955-6_66

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.