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Information Journal Paper

Title

COMPARISON BETWEEN GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE METHODS FOR DAILY RIVER FLOW FORECASTING (CASE STUDY: BARANDOOZCHAY RIVER)

Pages

  1162-1171

Keywords

GENETIC PROGRAMMING (GP)Q2
SUPPORT VECTOR MACHINE (SVM)Q2

Abstract

 Accurate estimation of river flow can have a significant importance in water resources management. In this study, Genetic programming (GP) and Support Vector Machine (SVM) methods were used to forecast daily discharge of Baran doozchay River. The daily discharge data of Baran doozchay River measured at the Dizaj hydrometric station during 2007 to 2011 was used for modeling, which 80% of the data used for training and remaining 20% used for testing of models. The results showed that in the both of considered methods, the models including discharges of one, two and three days ago had higher accuracy in verification step and the accuracy of models decreased with increasing discharge values. Comparing the performance of GP and SVM methods indicated that, however the accuracy of the GP method with the R=0.978 and RMSE=1.66 (m3/s) wasslightly more than SVM method with R=0.976 and RMSE=1.80 (m3/s), but the SVM is easier than GP method. Thus, the SVM method can be used as an alternative method in forecasting daily river discharge.

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    APA: Copy

    AHMADI, F., RADMANESH, F., & MIRABBASI NAJAF ABADI, R.. (2015). COMPARISON BETWEEN GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE METHODS FOR DAILY RIVER FLOW FORECASTING (CASE STUDY: BARANDOOZCHAY RIVER). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 28(6), 1162-1171. SID. https://sid.ir/paper/141189/en

    Vancouver: Copy

    AHMADI F., RADMANESH F., MIRABBASI NAJAF ABADI R.. COMPARISON BETWEEN GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE METHODS FOR DAILY RIVER FLOW FORECASTING (CASE STUDY: BARANDOOZCHAY RIVER). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2015;28(6):1162-1171. Available from: https://sid.ir/paper/141189/en

    IEEE: Copy

    F. AHMADI, F. RADMANESH, and R. MIRABBASI NAJAF ABADI, “COMPARISON BETWEEN GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE METHODS FOR DAILY RIVER FLOW FORECASTING (CASE STUDY: BARANDOOZCHAY RIVER),” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 28, no. 6, pp. 1162–1171, 2015, [Online]. Available: https://sid.ir/paper/141189/en

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