Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins

A suitable framework for the development of artificial neural networks is important because it decides the level of accuracy, which can be reached for a certain dataset and increases the certainty about the reached classification results. In this paper, we conduct a comparative study for the perform...

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Detalles Bibliográficos
Autores principales: Munjal, Rohan, Arif, Sohaib, Wendler, Frank, Kanoun, Olfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963033/
https://www.ncbi.nlm.nih.gov/pubmed/35214213
http://dx.doi.org/10.3390/s22041312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963033/
https://www.ncbi.nlm.nih.gov/pubmed/35214213
http://dx.doi.org/10.3390/s22041312

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