1. Aleksandar Novaković, Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Srbija 2IMW Ins, Serbia
2. Vesna Ranković, Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Srbija 2IMW Ins, Serbia
3. Nenad Grujović, Fakultet inženjerskih nauka Univerziteta u Kragujevcu, Serbia
4. Dejan Divac, Jaroslav Cerni Institute for Development of Water Resources, Serbia
5. Nikola Milivojević, Jaroslav Cerni Institute for Development of Water Resources, Serbia
Modeling seepage through geological formations located near the dam site or dam bodies is a challenging task in dam engineering. In order to monitor the seepage, piezometric devices are installed on sections of the dam. The objective of this study is to develop a neuro-fuzzy model to predict the water level in piezometers of the Iron Gate 2 dam. For each piezometer, neuro-fuzzy model was developed using experimental data which was collected during a period of nine years. The measurements of tailwater level taken on the same day, one day before, and two days before the measurements of piezometer were input variables, and the water level in the examined piezometer was the target output in the neuro-fuzzy model. The measured data has been compared with the results of neuro-fuzzy models on the basis of correlation coefficient (r), coefficient of determination (R2), mean square error (MSE) and mean absolute error (MAE). Comparing the experimental data with the values modeled by the neuro-fuzzy system, indicates that the computational intelligence models provide very accurate results.
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Datum:
08.03.2013.
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