Les réseaux de neurones et la régression multiple en prédiction de l’érosion spécifique: cas du bassin hydrographique Algérois-Hodna-Soummam (Algérie)

Estimation of discharge in rivers by different artificial neural network algorithms: case of the Algerian Coastal basin

“…To properly develop rating curves, discharges must be measured at all representative stages, using at least 10 to 12 points covering the range of low to high flows (Kennedy 2001). In the Algerian rivers, the bed is unstable, it is constantly in motion and characterized by a strong rate of sediments transported (Salhi et al 2013), so the stage-discharge relationship is re-callipered more than four times per year (ANRH, 2009). Whenever, the river crosssection changes, the old data and rating curve become useless and discharge calculations must wait until enough new data are collected to establish a new empirical rating.…”