A hybrid model for modelling the salinity of the Tafna River in Algeria

Affiliations

Houari Khemissi: University M’hamed Bougara, Faculty of Sciences, Department of Agronomy, 35000Boumerdes, Algeria
Hartani Tarik: Tipaza University Center, Agricultural Water Management Laboratory, El Harrach, Algiers, Algeria
Remini Boualem: Saad Dahlab University, Department of Rural Engineering, Blida, Algeria
Lefkir Abdelouhab: National School of Public Works, LTPiTE Laboratory, Kouba, Algiers, Algeria
Abda Leila: National Water Resources Agency, Algiers, Algeria
Heddam Salim: University 20 August 1955, Faculty of Science, Agronomy Department, Hydraulics Division, Skikda, Algeria

Abstract

In this paper, the capacity of an Adaptive-Network-Based Fuzzy Inference System (ANFIS) for predicting salinity of the Tafna River is investigated.

ISSN: 2083-4535 (Online)
Publisher: Polish Academy of Sciences
Country of publisher: Poland
LCC subjects: Technology: Hydraulic engineering: River, lake, and water-supply engineering (General); Technology: Hydraulic engineering: Irrigation engineering. Reclamation of wasteland. Drainage
Website: https://journals.pan.pl/jwld