Cargando…
Retracted: Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition
Autor principal: | Intelligence and Neuroscience, Computational |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322300/ https://www.ncbi.nlm.nih.gov/pubmed/37416590 http://dx.doi.org/10.1155/2023/9816186 |
Ejemplares similares
-
Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition
por: Zheng, Yuan, et al.
Publicado: (2021) -
Retracted: Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Retracted: Optimization of Choreography Teaching with Deep Learning and Neural Networks
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Retracted: Optimization of Human Motion Recognition Information Processing System Based on GA-BP Neural Network Algorithm
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Retracted: Hypertuned Deep Convolutional Neural Network for Sign Language Recognition
por: Intelligence and Neuroscience, Computational
Publicado: (2023)