Environmental temperature prediction using a Data analysis and Neural Networks methodological approach

 

Authors
Rivas, Francklin
Format
Article
Status
publishedVersion
Description

In this paper it?s presented a methodological approach for obtaining an environmental climatic variables prediction using artificial neural networks and statistical data analysis. This methodology considers the diverse problems usually found in environmental collected data. It?s also presented the obtained results for temperature prediction using climatic data collected each five minutes in Ibarra, Ecuador from 2012 until 2015 and using diverse neural networks schemes.
http://www.wseas.us/e-library/conferences/2015/Rome/FSNN/FSNN-12.pdf

Publication Year
2015
Language
eng
Topic
TEMPERATURE PREDICTION
WEATHER FORECAST
CLIMATE PREDICTION
Repository
Repositorio SENESCYT
Get full text
http://repositorio.educacionsuperior.gob.ec/handle/28000/4061
Rights
openAccess
License
openAccess