Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Imputation of daily rainfall in Benin using LSTM recurrent neural networks

Saved in:
Bibliographic Details
Published in:International Journal of Water Resources and Environmental Engineering
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867301674740088834
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Water Resources and Environmental Engineering
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:72683
institution FRELIP
journal_source_facet International Journal of Water Resources and Environmental Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Imputation of daily rainfall in Benin using LSTM recurrent neural networks
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_auth Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_full Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_fullStr Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_full_unstemmed Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_short Imputation of daily rainfall in Benin using LSTM recurrent neural networks
title_sort imputation of daily rainfall in benin using lstm recurrent neural networks
topic Environmental Studies
General
Environmental Studies
url http://academicjournals.org/journal/IJWREE/article-abstract/90A016974227