Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/136615
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Quevedo-Reina, Román | en |
dc.contributor.author | Álamo, Guillermo | en |
dc.contributor.author | Padrón Hernández, Luis Alberto | en |
dc.contributor.author | Aznárez, Juan José | en |
dc.date.accessioned | 2025-03-11T20:34:43Z | - |
dc.date.available | 2025-03-11T20:34:43Z | - |
dc.date.issued | 2025 | en |
dc.identifier | https://doi.org/10.5281/zenodo.14732047 | - |
dc.identifier | oai:zenodo.org:14732047 | - |
dc.identifier.uri | http://hdl.handle.net/10553/136615 | - |
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.publisher | Zenodo | - |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights | Creative Commons Attribution 4.0 International | - |
dc.rights | https://creativecommons.org/licenses/by/4.0/legalcode | - |
dc.title | Dataset generated in "Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets" | - |
dc.type | info:eu-repo/semantics/other | - |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
Colección: | Datasets ULPGC |
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