A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning

Some of the biggest challenges in climate change arise from bad dataset. To address this issue, we have developed a novel method for cleaning coarse atmospheric dataset; the median absolute deviation-neural network (MAD-NN) method. By combining the median absolute deviation (MAD) technique with neur...

Descripción completa

Detalles Bibliográficos
Autores principales: Owolabi, Oluwafisayo, Okoh, Daniel, Rabiu, Babatunde, Obafaye, Aderonke, Dauda, Kashim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563688/
https://www.ncbi.nlm.nih.gov/pubmed/34754802
http://dx.doi.org/10.1016/j.mex.2021.101533

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563688/
https://www.ncbi.nlm.nih.gov/pubmed/34754802
http://dx.doi.org/10.1016/j.mex.2021.101533

Ejemplares similares