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
Cites
Statistics
Verification
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
“A solution to this problem is Wirtinger calculus [62].”
From An Introduction to Deep Learning for the Physical Layer (2017) · cites this paper as [62]
Citations
Cites
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Training feedforward networks with the Marquardt algorithm
Hagan, M. T., & Menhaj, M. B. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.329697 · Cited by 7,701
Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory
Van Trees, H. L. (2002) · Wiley eBooks · doi:10.1002/0471221104 · Cited by 5,188
Principles of Mobile Communication
(2002) · Kluwer Academic Publishers eBooks · doi:10.1007/b117369 · Cited by 2,674
Principles of Mobile Communication
Nikolić, Z. (2001) · Microelectronics Journal · doi:10.1016/s0026-2692(01)00119-7 · Cited by 856
Principles of mobile communication (2nd ed.)
Stüber, G. L. (2001) · Kluwer Academic Publishers eBooks · Cited by 812
The Complex Gradient Operator and the CR-CalculusPreprint
Kreutz-Delgado, K. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0906.4835 · Cited by 560
Complex-Valued Neural Networks
Hirose, A. (2012) · Studies in Computational Intelligence · doi:10.1007/978-3-642-27632-3 · Cited by 531
Zur formalen Theorie der Funktionen von mehr komplexen Ver�nderlichen
Wirtinger, W. (1927) · Mathematische Annalen · doi:10.1007/bf01447872 · Cited by 409
A complex gradient operator and its application in adaptive array theory
Brandwood, D. H. (1983) · IEE Proceedings H Microwaves, Optics and Antennas · doi:10.1049/ip-h-1.1983.0004 · Cited by 347
Research works printed but not linked: 1
- Helstrom, C.W.: Elements of Signal Detection and Estimation. Prentice Hall, New Jersey (1995)
Cited by
An Introduction to Deep Learning for the Physical Layer
O'Shea, T., & Hoydis, J. (2017) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2017.2758370 · Cited by 2,980
Complex-Valued Neural Networks: A Comprehensive Survey
Lee, C., Hasegawa, H., & Gao, S. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105743 · Cited by 289
Machine learning algorithms in microbial classification: a comparative analysis
Wu, Y., & Gadsden, S. A. (2023) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2023.1200994 · Cited by 56
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?
Zhang, H., & Mandic, D. P. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2494361 · Cited by 53
Barrachina, J. A., Ren, C., Morisseau, C., Vieillard, G., & Ovarlez, J. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9413814 · Cited by 53
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
- ORCID
- Murase, Kazuyuki
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- 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
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- 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.