سال انتشار: ۱۳۸۱
محل انتشار: پنجمین همایش بین المللی سواحل، بنادر و سازه های دریایی
تعداد صفحات: ۱
J. Aghaie Tarazjani – M.s. Student of Sharif University
A. Kabiri Samani – Phd. Student of Sharif University and Member Of Scientifi Group in Shahrekord University
S.M Borghei – Associate Prof of civil dept. Sharif University
N. Sadati – Associate Prof of Electrical Eng. Sharif University
in this paper the use of neural networks for estimation of long-shore sediment transport rate is presented. In order to heve a good moodel for predicting sedimentation in coastal situations, the algoritm pf program must be trained with a lot of data. For this reason the field data expressed by Kamphuis (1986) has been used. Finally the outputs of neural network program have been compared with results of Kamphuis and other investigators. Good correlation betweer. ssults of neural network program and field data shows thet this method is better than all earliest relations and methodes.