Using Different Types of Artificial Neural Networks to Classify 2D Matrix Codes and Their Rotations—A Comparative Study

Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition. Our comparative study deals with four types of artificial neural networks—multilayer perceptrons, probabilistic neural networks, radial basis function neura...

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Detalles Bibliográficos
Autores principales: Karrach, Ladislav, Pivarčiová, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532761/
https://www.ncbi.nlm.nih.gov/pubmed/37754952
http://dx.doi.org/10.3390/jimaging9090188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532761/
https://www.ncbi.nlm.nih.gov/pubmed/37754952
http://dx.doi.org/10.3390/jimaging9090188

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