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

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 Sp...

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Hauptverfasser:	Pérez Herranz, Valentín, Giner Sanz, Juan José, Sáez Pardo, Fermín
Format:	Dataset
Sprache:	eng
Schlagworte:	Artificial Vision (AV) CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL Convolutional Neural Networks (CNN) Deep Learning (DL) Electrical equivalent circuits Electrical Equivalent Circuits (EEC) Electrochemical Impedance Spectroscopy (EIS) INGENIERIA QUIMICA
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Zusammenfassung:	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 Pérez Herranz, V.; Giner Sanz, JJ.; Sáez Pardo, F. (2024). Image database for the scientific paper: Deep Learning Algorithm, Based on Convolutional Neural Networks, for Equivalent Electrical Circuit Recommendation for Electrochemical Impedance Spectroscopy. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/202500