Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/152538
Título: Dataset generated in "ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines"
Autores/as: Quevedo-Reina, Román
Álamo, Guillermo
Aznárez, Juan José
Fecha de publicación: 2025
Editor/a: Zenodo
Descripción: <p>This repository contains the train and test datasets used in the following scientific articles:</p> <ul> <li>"ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez<br>(https://doi.org/10.1016/j.oceaneng.2024.119984)</li> <li>"Feasibility analysis of jacket support structures for offshore wind turbines employing a regression-based artificial neural network model" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez <br>(https://doi.org/10.1016/j.compstruc.2025.108004)</li> </ul> <p>This dataset was used to train the artifficial neural networks described in the papers above and available at:</p> <ul> <li>https://doi.org/10.5281/zenodo.15132439</li> <li>https://doi.org/10.5281/zenodo.15166283</li> </ul>
<p>The datasets are available in two formats: ".mat" (MATLAB file) and ".csv" (comma-separated values).</p> <p>The table contains the following details:</p> <ul> <li>Each row represents a single sample.</li> <li>The matrix has 105 columns, corresponding to the 74 input variables and 31 outputs of the structural model, all of them described in the cited scientific article.</li> </ul>
URI: https://accedacris.ulpgc.es/jspui/handle/10553/152538
Otros identificadores: https://doi.org/10.5281/zenodo.17455086
oai:zenodo.org:17455086
Derechos: info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Colección:Datasets ULPGC
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