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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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Bibliografiske detaljer
Principais autores: Rohan Munjal, Sohaib Arif, Frank Wendler, Olfa Kanoun
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-02-01
Serier:Sensors
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Online adgang:https://www.mdpi.com/1424-8220/22/4/1312
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