Groundwater level forecasting using random forest and linear regression neural network models
Joint Authors
al-Hawil, Amna
Naji, al-Arabi
Nasri, Malak
Sanossi, al-Mabruk
Source
The International Journal of Engineering and Information Technology : is a peer-reviewed
Publisher
Misurata University Faculty Engineering
Publication Date
2021-12-31
Country of Publication
Libya
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Data Type
Conference Papers
Record ID
BIM-1469254
American Psychological Association (APA)
al-Hawil, Amna& Naji, al-Arabi& Nasri, Malak& Sanossi, al-Mabruk. 2021-12-31. Groundwater level forecasting using random forest and linear regression neural network models. . Vol. 9, no. 1 (Special issue conference) (Dec. 2021), pp.47-52.Misurata Libya : Misurata University Faculty Engineering.
https://search.emarefa.net/detail/BIM-1469254
Modern Language Association (MLA)
al-Hawil, Amna…[et al.]. Groundwater level forecasting using random forest and linear regression neural network models. . Misurata Libya : Misurata University Faculty Engineering. 2021-12-31.
https://search.emarefa.net/detail/BIM-1469254
American Medical Association (AMA)
al-Hawil, Amna& Naji, al-Arabi& Nasri, Malak& Sanossi, al-Mabruk. Groundwater level forecasting using random forest and linear regression neural network models. .
https://search.emarefa.net/detail/BIM-1469254
