Estimation of Long- Shore Sediment Transport Using neural Networks

Publish Year: 1381
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,814

متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

ICOPMAS05_032

تاریخ نمایه سازی: 21 مرداد 1387

Abstract:

Estimation of long-shore sediment transport rate is one of the most common and difficult problems in coastal engineering. Ue to the importance of sediment behavior, ample atudy have been carried out in order to final a better correlation between the parameters. On the other hand, due to many variables involed, the equations offered by field and laboratory investigators are in a very wide range and sometimes quite different from each other. 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.

Authors

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