A. M. Kalteh

Dept. of Forestry, Faculty of Natural Resources, University of Guilan. O.Box 1144, Somehsara, Iran. 2- Dept. of Water resource Engineering, Lund University, Sweden

[ 1 ] - Rainfall-runoff modelling using artificial neural networks (ANNs): modelling and understanding

In recent years, artificial neural networks (ANNs) have become one of the most promising tools in order to model complex hydrological processes such as the rainfall-runoff process. In many studies, ANNs have demonstrated superior results compared to alternative methods. ANNs are able to map underlying relationship between input and output data without prior understanding of the process under in...

Co-Authors