Vahid Nourani
Leila Malekani - Faculty of Civil Eng., University of Tabriz, Iran
Hadi Delafrouz

The complexity of natural system makes traditional modeling very difficult. Intelligence modeling such as the adaptive neuro fuzzy inference system (ANFIS), FIS and ANN in modeling of rainfall–runoff process has been increased since the last decade. In this study, applicability and capability of ANFIS model, for daily and monthly runoff forecasting is investigated. To illustrate the application capability of ANFIS, Ligvanchai River, was chosen as a case study. The performances of the ANFIS models were compared with FIS; ANN; time series and regression methods. The results show that the ANFIS model gives better modeling than the other techniques.

rainfall-runoff modeling; ANFIS; FIS; ANN