چکیده مقاله
In this paper, stream flow forecasting in long term series of time, has been investigated by ANN model For knowing the hydrological behavior and water management of Sepidroud River North of Iran Gilan the present study focused on stream flow forecasting with artificial neural network Ten years 2000 2009 historical inflow data, observed from the Sepidroud River, were selected ; then 10 years inflow of the Sepidroud River have been forecasted by neural network Finally, the results obtained from forecasted data compared with observed data The results showed that neural network could predict stream flow with high precision and the maximum error between predicted and observed data was 3% approximately
کلیدواژهها
نویسندگان
Alireza Mardookhpour
Ph D Department of Civil and Water Engineering,Lahijan Branch, Islamic Azad University
Freydoon Godarzvand Chegini
B S Department of Water Engineering, Lahijan Branch, Islamic Azad University, Lahijan
شیوه ارجاع
Mardookhpour, Alireza and Godarzvand Chegini, Freydoon,1391,Utilizing artificial neural network to measure stream flow in flood plain (Case study: Sepidroud watershed),09th International River Engineering Conference,Ahvaz
ارائهشده در
مجموعه مقالات نهمین سمینار بین المللی مهندسی رودخانه3 بهمن 1391 · اهواز