سال انتشار: ۱۳۸۵

محل انتشار: هفتمین کنگره بین المللی مهندسی عمران

تعداد صفحات: ۸

نویسنده(ها):

M.Heidarpour – Assistant professor
N.Najafi-Neisiani – MSc student of Hydraulic Structures
A.Taleb – MSc student of Mechanical
M.Z.Tabar-Ahmadi – professor

چکیده:

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.