[Retracted] Using an Optimized Learning Vector Quantization‐ (LVQ‐) Based Neural Network in Accounting Fraud Recognition

Yuan Zheng, Xiaolan Ye, Ting Wu

DOI: 10.1155/2021/4113237
Published: 2021-01
Container: Computational Intelligence and Neuroscience
Publisher: Wiley
Open access: unknown

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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1155/2021/4113237,
  title = {[Retracted] Using an Optimized Learning Vector Quantization‐ (LVQ‐) Based Neural Network in Accounting Fraud Recognition},
  author = {Yuan Zheng and Xiaolan Ye and Ting Wu},
  year = {2021},
  journal = {Computational Intelligence and Neuroscience},
  doi = {10.1155/2021/4113237},
  url = {https://doi.org/10.1155/2021/4113237}
}

RIS

TY  - JOUR
TI  - [Retracted] Using an Optimized Learning Vector Quantization‐ (LVQ‐) Based Neural Network in Accounting Fraud Recognition
AU  - Yuan Zheng
AU  - Xiaolan Ye
AU  - Ting Wu
PY  - 2021
JO  - Computational Intelligence and Neuroscience
DO  - 10.1155/2021/4113237
UR  - https://doi.org/10.1155/2021/4113237
ER  -

APA

Zheng, Y., Ye, X., & Wu, T. (2021). [Retracted] Using an Optimized Learning Vector Quantization‐ (LVQ‐) Based Neural Network in Accounting Fraud Recognition. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2021/4113237

Source records

crossref · retrieved 2026-09-25T22:12:24.172Z