SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED)

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HAGHIZADEH ALI; MOHAMMADLOU MOHAMMAD; NOORI FAZEL

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Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2015 | Volume:2 | Issue:2 Page(s): 233-243

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Title

SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED)

Author(s)

HAGHIZADEH ALI | MOHAMMADLOU MOHAMMAD | NOORI FAZEL | Issue Writer Certificate

Keywords

ADAPTIVE NEURO-FUZZY INTERFACE SYSTEMQ2

KHORRAMABD WATERSHEDQ3

MULTI-LAYER PERCEPTRONQ3

MULTIPLE REGRESSIONQ3

RUNOFFQ2

Abstract

The discharge or RUNOFF which ousts from a watershed is important, because its deficiency leads to financial losses and its excesses cause damage in lives and property as flood. In this research by using Artificial Neural Network MULTI-LAYER PERCEPTRON (MLP) and ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM (ANFIS) and MULTIPLE REGRESSION method were simulated rainfall- RUNOFF process on daily basis in the Khorramabad watershed. For inputs, different combinations of precipitation inputs including current rainfall, pervious day rainfall and two previous days were used. Inputs membership function for ANFIS model in this research is: the trapezoid, triangular, Gaussian and Gaussian type 2. ML P model using in this research was evaluated with one hidden layer and the number of variables neurons. The results showed that ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM (ANFIS) compared to MULTI-LAYER PERCEPTRON model (MLP) and MULTIPLE REGRESSION model has better performance. Also, by increasing in the number of inputs, involvement pervious day rainfall and two previous days, all three models performance will be better.

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APA: Copy

HAGHIZADEH, ALI, MOHAMMADLOU, MOHAMMAD, & NOORI, FAZEL. (2015). SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED). IRANIAN JOURNAL OF ECOHYDROLOGY, 2(2), 233-243. SID. https://sid.ir/paper/253975/en

Vancouver: Copy

HAGHIZADEH ALI, MOHAMMADLOU MOHAMMAD, NOORI FAZEL. SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED). IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2015;2(2):233-243. Available from: https://sid.ir/paper/253975/en

IEEE: Copy

ALI HAGHIZADEH, MOHAMMAD MOHAMMADLOU, and FAZEL NOORI, “SIMULATION OF RAINFALL-RUNOFF PROCESS USING MULTILAYER PERCEPTRON AND ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM AND MULTIPLE REGRESSIONS (CASE STUDY: KHORRAMABD WATERSHED),” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 2, no. 2, pp. 233–243, 2015, [Online]. Available: https://sid.ir/paper/253975/en

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