University of Tabriz Water and Soil Science 2008-5133 20 4 2011 01 21 Stage -Discharge Relationship Modeling in Rivers Using Intelligent Systems Stage -Discharge Relationship Modeling in Rivers Using Intelligent Systems 15 31 1369 FA A Soltani E Olyaie MA Ghorbani Journal Article 2014 05 19 Since continual measurement of rivers discharge, specialy at  flooding time is expensive and difficult task, modeling of stage-discharge relationship using mathematical and intelligent models have been  developed and used. In this research artificial neural networks, inference neuro-fuzzy and genetic programming were used for modeling daily stage- discharge relationship at the two stations, Yamula and Sogutluhan on the Kizilirmak  river in Turkey. Modeling were accomplished by the above three methods with various  combination of inputs  including the previous stage-discharge data. According to the results obtained,  neuro-fuzzy showed greater accuracy. Due to ability of genetic programming for evolving mathematical relationship and selecting significant variables, this method was selected as the best for stage-discharge relationship modeling  using four main operators including {+,-,*,/} with R²,RMSE and MAE for Yamula station are 1.000, 0.974 and 0.552 and for Sogutluhan station, 0.999, 1.095 and 0.630 respectively.  Since continual measurement of rivers discharge, specialy at  flooding time is expensive and difficult task, modeling of stage-discharge relationship using mathematical and intelligent models have been  developed and used. In this research artificial neural networks, inference neuro-fuzzy and genetic programming were used for modeling daily stage- discharge relationship at the two stations, Yamula and Sogutluhan on the Kizilirmak  river in Turkey. Modeling were accomplished by the above three methods with various  combination of inputs  including the previous stage-discharge data. According to the results obtained,  neuro-fuzzy showed greater accuracy. Due to ability of genetic programming for evolving mathematical relationship and selecting significant variables, this method was selected as the best for stage-discharge relationship modeling  using four main operators including {+,-,*,/} with R²,RMSE and MAE for Yamula station are 1.000, 0.974 and 0.552 and for Sogutluhan station, 0.999, 1.095 and 0.630 respectively.  https://water-soil.tabrizu.ac.ir/article_1369_02c50e74f1d92e43609f6fe559b2a804.pdf