Code for LSTM model for analysing multivariate time series data

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Main Authors: Villamediana-Pedrosa, Jenely Dayana, Vila-López, Natalia, Küster-Boluda, Inés, Naranjo, Valery, Piñero, Gema, Payá-Bosch, Elena
Format: Recurso digital
Published: Zenodo 2023
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author Villamediana-Pedrosa, Jenely Dayana
Vila-López, Natalia
Küster-Boluda, Inés
Naranjo, Valery
Piñero, Gema
Payá-Bosch, Elena
author_facet Villamediana-Pedrosa, Jenely Dayana
Vila-López, Natalia
Küster-Boluda, Inés
Naranjo, Valery
Piñero, Gema
Payá-Bosch, Elena
contents <p>This file present a code for a LSTM model for multivariate time series. This code has created and used for analysing tourism demand by its authors. </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_10245489
institution Zenodo
language
publishDate 2023
publisher Zenodo
record_format zenodo
spellingShingle Code for LSTM model for analysing multivariate time series data
Villamediana-Pedrosa, Jenely Dayana
Vila-López, Natalia
Küster-Boluda, Inés
Naranjo, Valery
Piñero, Gema
Payá-Bosch, Elena
<p>This file present a code for a LSTM model for multivariate time series. This code has created and used for analysing tourism demand by its authors. </p>
title Code for LSTM model for analysing multivariate time series data
url https://doi.org/10.5281/zenodo.10245489