Missing values are a common problem faced in the analysis of hydrometric data. The need for complete hydrological data, especially hydrometric data for planning, development and designing hydraulic structures, has become increasingly important. Reasonably estimating these missing values is significant for the complete analysis and modeling of the hydrological cycle. The major objective of this paper is to estimate the missing annual maximum hydrometric data by using According to the coefficient of determination (R 2 ) and the root mean squared value of error (RMSE), it was concluded that ANN provides a better estimation of the missing data.

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