PARAMETER ESTIMATION OF NASH CONCEPTUAL MODEL USING GENETIC ALGORITHM AND ORDINARY LEAST SQUARE METHODS

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HOSSEINI SEYED MOUSA; ZAHRAEI B.; HOURFAR A.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2006 | Volume:2 | Issue:2 Page(s): 10-12

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Title

PARAMETER ESTIMATION OF NASH CONCEPTUAL MODEL USING GENETIC ALGORITHM AND ORDINARY LEAST SQUARE METHODS

Author(s)

HOSSEINI SEYED MOUSA | ZAHRAEI B. | HOURFAR A. | Issue Writer Certificate

Keywords

PARAMETER ESTIMATIONQ4

NASH CONCEPTUAL MODELQ4

ORDINARY LEAST SQUAREQ4

GENETIC ALGORITHMQ2

Abstract

This study is focused on two PARAMETER ESTIMATION methods of ORDINARY LEAST SQUARE (OLS) and binary code GENETIC ALGORITHM (GA) for estimating the k, n NASH CONCEPTUAL MODEL parameters. The efficiency of these methods is compared by applying the calibrated models in simulating seven rainfall-runoff events in Heng-Chi watershed in north of Taiwan. The results of the goodness of fit criteria indicate that GA method has better performance in terms of coefficient of efficiency and has reduced the coefficient of variation of error in simulated discharge and error in peak discharge.

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APA: Copy

HOSSEINI, SEYED MOUSA, ZAHRAEI, B., & HOURFAR, A.. (2006). PARAMETER ESTIMATION OF NASH CONCEPTUAL MODEL USING GENETIC ALGORITHM AND ORDINARY LEAST SQUARE METHODS. IRAN-WATER RESOURCES RESEARCH, 2(2), 10-12. SID. https://sid.ir/paper/99886/en

Vancouver: Copy

HOSSEINI SEYED MOUSA, ZAHRAEI B., HOURFAR A.. PARAMETER ESTIMATION OF NASH CONCEPTUAL MODEL USING GENETIC ALGORITHM AND ORDINARY LEAST SQUARE METHODS. IRAN-WATER RESOURCES RESEARCH[Internet]. 2006;2(2):10-12. Available from: https://sid.ir/paper/99886/en

IEEE: Copy

SEYED MOUSA HOSSEINI, B. ZAHRAEI, and A. HOURFAR, “PARAMETER ESTIMATION OF NASH CONCEPTUAL MODEL USING GENETIC ALGORITHM AND ORDINARY LEAST SQUARE METHODS,” IRAN-WATER RESOURCES RESEARCH, vol. 2, no. 2, pp. 10–12, 2006, [Online]. Available: https://sid.ir/paper/99886/en

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