Prediction of climatic parameters from physicochemical parameters using artificial neural networks
The knowledge of the climate of a region is a primordial task in that it allows predictions of climatic parameters in the future. In this study, monthly maximum and minimum air temperature (Tair,min, Tair,max), relative humidity (RH), and sunshine duration (SD) were modelled by multiple linear regre...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001068835/TOC |
|---|---|
| Matična publikacija: |
Kemija u industriji (Online) 68 (2019), 7/8 ; str. 303-316 |
| Glavni autori: | Gheraba, Lamia (Author), Khaouane, Latifa, Benkortbi, Othmane, Hanini, Salah, Hamadache, Mabrouk |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/KUI.2019.004 Kemija u industriji (Online) Hrčak |
Sadržaj:
- Sadrži i: priloge na str. 312-316.