Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/137071
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dc.contributor.authorQuevedo-Reina, Románen
dc.contributor.authorÁlamo, Guillermoen
dc.contributor.authorPadrón Hernández, Luis Albertoen
dc.contributor.authorAznárez, Juan Joséen
dc.date.accessioned2025-04-07T10:58:21Z-
dc.date.available2025-04-07T10:58:21Z-
dc.date.issued2025en
dc.identifierhttps://doi.org/10.5281/zenodo.14732047-
dc.identifieroai:zenodo.org:14732047-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/137071-
dc.description<p>This repository contains the dataset used in the scientific article "Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets" by Román Quevedo-Reina, Guillermo M. Álamo, Luis A. Padrón, Juan J. Aznárez.</p> <p>(https://doi.org/10.1016/j.compstruc.2022.106917)</p> <p>This dataset was used to train the artifficial neural network describe in the paper above and available at: https://doi.org/10.5281/zenodo.14731582</p>-
dc.description<p>The dataset is 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 23 columns, corresponding to the 22 input variables and the fundamental frequency, all of them described in the cited scientific article.</li> </ul>-
dc.publisherZenodo-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsCreative Commons Attribution 4.0 International-
dc.rightshttps://creativecommons.org/licenses/by/4.0/legalcode-
dc.titleDataset generated in "Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets"-
dc.typeinfo:eu-repo/semantics/other-
item.grantfulltextnone-
item.fulltextSin texto completo-
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