Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy

Pérez Herranz, Valentín; Giner Sanz, Juan José; Sáez Pardo, Fermín

doi:10.4995/Dataset/10251/202500

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Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy

Título: Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy

Autor: Pérez Herranz, Valentín; Giner Sanz, Juan José; Sáez Pardo, Fermín

Resumen: The present dataset is the database and image database used to train and test the Convolutional Neural Network models of the scientific paper: Deep Learning algorithm, based on convolutional neural networks, for electrical equivalent electrical circuit recommendation for Electrochemical Impedance Spectroscopy

URI: http://hdl.handle.net/10251/202500

Fecha: 2024-02-09

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