Artificial Neural Networks-based methodological approach for Climatic variables prediction
- Authors
- Rivas, Francklin
- Format
- Article
- Status
- publishedVersion
- 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.
http://www.naun.org/main/NAUN/neural/2016/a082005-284.pdf
- Publication Year
- 2016
- Language
- eng
- Topic
- CLIMATE PREDICTION
TEMPERATURE PREDICTION
ARTIFICIAL NEURAL NETWORKS
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- openAccess