Artificial Neural Networks-based methodological approach for Climatic variables prediction

In this work it?s presented a neural networks-based methodological approach for obtaining climatic variables prediction using artificial neural networks. In this methodology it?s included statistical data analysis techniques and has been used for temperature, humidity and Pressure prediction using d...

Full description

Saved in:
Bibliographic Details
Main Author: Rivas, Francklin
Format: Artículos
Language:eng
Published: 2017
Subjects:
Online Access:http://repositorio.educacionsuperior.gob.ec/handle/28000/4069
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:localhost:28000-4069
recordtype dspace
spelling oai:localhost:28000-40692017-04-13T16:36:11Z Artificial Neural Networks-based methodological approach for Climatic variables prediction Rivas, Francklin CLIMATE PREDICTION TEMPERATURE PREDICTION ARTIFICIAL NEURAL NETWORKS In this work it?s presented a neural networks-based methodological approach for obtaining climatic variables prediction using artificial neural networks. In this methodology it?s included statistical data analysis techniques and has been used for temperature, humidity and Pressure prediction using data collected from a weather station in Ibarra, Ecuador. http://www.naun.org/main/NAUN/neural/2016/a082005-284.pdf 2017-04-12T18:59:30Z 2017-04-12T18:59:30Z 2016 article Rivas Echeverr?a, Francklin. et al. (2016). Artificial Neural Networks-based methodological approach for Climatic variables prediction. INTERNATIONAL JOURNAL OF NEURAL NETWORKS and ADVANCED APPLICATIONS. Volume 3. Estados Unidos. 2313-0563 http://repositorio.educacionsuperior.gob.ec/handle/28000/4069 eng openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic CLIMATE PREDICTION
TEMPERATURE PREDICTION
ARTIFICIAL NEURAL NETWORKS
spellingShingle CLIMATE PREDICTION
TEMPERATURE PREDICTION
ARTIFICIAL NEURAL NETWORKS
Rivas, Francklin
Artificial Neural Networks-based methodological approach for Climatic variables prediction
description In this work it?s presented a neural networks-based methodological approach for obtaining climatic variables prediction using artificial neural networks. In this methodology it?s included statistical data analysis techniques and has been used for temperature, humidity and Pressure prediction using data collected from a weather station in Ibarra, Ecuador.
author Rivas, Francklin
author_facet Rivas, Francklin
author_sort Rivas, Francklin
title Artificial Neural Networks-based methodological approach for Climatic variables prediction
title_short Artificial Neural Networks-based methodological approach for Climatic variables prediction
title_full Artificial Neural Networks-based methodological approach for Climatic variables prediction
title_fullStr Artificial Neural Networks-based methodological approach for Climatic variables prediction
title_full_unstemmed Artificial Neural Networks-based methodological approach for Climatic variables prediction
title_sort artificial neural networks-based methodological approach for climatic variables prediction
publishDate 2017
url http://repositorio.educacionsuperior.gob.ec/handle/28000/4069
_version_ 1634995217340825600
score 11,871979