UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS AND NEURO-FUZZY MODELS IN RIVER FLOW FORECASTING

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FAROKHNIA A.; MORID S.

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Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2010 | Volume:5 | Issue:3 (15) Page(s): 82-85

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Information Journal Paper

Title

UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS AND NEURO-FUZZY MODELS IN RIVER FLOW FORECASTING

Author(s)

FAROKHNIA A. | MORID S. | Issue Writer Certificate

Keywords

RIVER FLOW FORECASTINGQ4

UNCERTAINTYQ4

ARTIFICIAL NEURAL NETWORKQ4

NEURO-FUZZYQ4

Abstract

IntroductionStreamflow forecasts are of great importance in water resources management. However, due to the high UNCERTAINTY in the rainfall-runoff simulation procedure, forecasts are usually problematic. UNCERTAINTY analysis is traditionally applied for streamflow forecasts using statistical approaches. But data-driven models like the ARTIFICIAL NEURAL NETWORK (ANN) and the Adaptive Network Fuzzy Inference System (ANFIS) have been rarely considered. The objective of this paper is to determine the UNCERTAINTY associated with ANN and ANFIS models for 1 to 3 months lead time forecasts and compare these models in this regard. To explore the methodology, Sofy-chai river at Tazkand station in north-western Iran is selected.

Cites

COMPARISON OF ARTIFICIAL NEURAL NETWORK AND SDSM METHODS IN THE DOWNSCALING OF ANNUAL RAINFALL IN THE HADCM3 MODELLING (CASE STUDY: KERMAN, RAVAR AND RABOR)

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APA: Copy

FAROKHNIA, A., & MORID, S.. (2010). UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS AND NEURO-FUZZY MODELS IN RIVER FLOW FORECASTING. IRAN-WATER RESOURCES RESEARCH, 5(3 (15)), 82-85. SID. https://sid.ir/paper/380329/en

Vancouver: Copy

FAROKHNIA A., MORID S.. UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS AND NEURO-FUZZY MODELS IN RIVER FLOW FORECASTING. IRAN-WATER RESOURCES RESEARCH[Internet]. 2010;5(3 (15)):82-85. Available from: https://sid.ir/paper/380329/en

IEEE: Copy

A. FAROKHNIA, and S. MORID, “UNCERTAINTY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS AND NEURO-FUZZY MODELS IN RIVER FLOW FORECASTING,” IRAN-WATER RESOURCES RESEARCH, vol. 5, no. 3 (15), pp. 82–85, 2010, [Online]. Available: https://sid.ir/paper/380329/en

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