کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1727416 | 1520775 | 2008 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of probabilistic neural network to design breakwater armor blocks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Application of probabilistic neural network to design breakwater armor blocks Application of probabilistic neural network to design breakwater armor blocks](/preview/png/1727416.png)
چکیده انگلیسی
This study presents a probabilistic neural network (PNN) technique for predicting the stability number of armor blocks of breakwaters. The PNN is prepared using the experimental data of Van der Meer. The predicted stability numbers of the PNN are compared with those of previous studies, i.e. by an empirical formula and a previous neural network model. The agreement index between the measured and predicted stability numbers by PNN are better than those by the previous studies. The PNN offers a way to interpret the network's structure in the form of a probability density function and it is easy to implement. Therefore, it can be an effective tool for designers of rubble mound breakwaters.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 35, Issues 3–4, March 2008, Pages 294–300
Journal: Ocean Engineering - Volume 35, Issues 3–4, March 2008, Pages 294–300
نویسندگان
Dookie Kim, Dong Hyawn Kim, Seongkyu Chang,