چکیده مقاله
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
کلیدواژهها
نویسندگان
وحید نورانی
Leila Malekani Faculty of Civil Eng., University of Tabriz, IranHadi Delafrouz
Leila Malekani
Faculty of Civil Eng , University of Tabriz, Iran
Hadi Delafrouz
Vahid NouraniLeila Malekani Faculty of Civil Eng., University of Tabriz, Iran
شیوه ارجاع
Nourani, Vahid and Malekani, Leila and Delafrouz, Hadi,1388,Using of adaptive neuro-fuzzy inference system for rainfall-runoff modeling,8th International Congress on Civil Engineering,Shiraz
ارائهشده در
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