چکیده مقاله
this paper presents the development of an Artificial Neural Network ANN to estimate sediment transportation in a River ANNs can solve complex large – scale problems that are currently intractable In the present study a neural network is trained using some available geometrical can hydrological measurements A MATLAB code was written to generalize conventional FFBP algorithm the stopping criterion was a user defined testing error or number of iterations The results show that the existing model has good agreement with the measured ones
کلیدواژهها
نویسندگان
M.Heidarpour
Assistant professor
N.Najafi-Neisiani
MSc student of Hydraulic Structures
A.Taleb
MSc student of Mechanical
M.Z.Tabar-Ahmadi
professor
شیوه ارجاع
M.Heidarpour, and N.Najafi-Neisiani, and A.Taleb, and M.Z.Tabar-Ahmadi, ,1385,Estimation and prediction of Sediment loads in Zayanderood River using Artifical Neural Network,7th International Congress on Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات هفتمین کنگره بین المللی مهندسی عمران17 اردیبهشت 1385 · تهران