دانلود مقاله ISI انگلیسی شماره 46717
عنوان فارسی مقاله

بررسی موج منظم صیقلی اطراف یک شمع دایره ای با استفاده روش های داده کاوی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46717 2010 6 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Evaluation of regular wave scour around a circular pile using data mining approaches
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Ocean Research, Volume 32, Issue 1, February 2010, Pages 34–39

کلمات کلیدی
شبکه عصبی مصنوعی - سبد خرید - شمع - درخت رگرسیون - عمق آبشستگی - موج
پیش نمایش مقاله
پیش نمایش مقاله بررسی موج منظم صیقلی اطراف یک شمع دایره ای با استفاده روش های داده کاوی

چکیده انگلیسی

An accurate estimation of scour depth around a pile is very difficult due to the complex behavior of flow around a pile structure on an erodible bed. In the current study, Regression Trees (RT) and Artificial Neural Networks (ANNs) as remedy data mining approaches are suggested to estimate the scour depth due to regular waves. These approaches were used to predict normalized scour depth as a function of two separate sets of parameters: (i) dimensional parameters and (ii) dimensionless parameters. The ANN trained by dimensional parameters provides more accurate results compared to that trained by dimensionless parameters. As opposed to the ANN model, the RT model based on dimensionless input parameters predicts normalized scour depth outperformed the one based on dimensional inputs. In addition, these models outperformed the existing empirical formulae. A committee model based on the geometric mean of the results of RT and ANN (developed by dimensionless parameters) is presented as the best model. To determine the relative importance of input parameters in the prediction of the scour depth, a sensitivity analysis was then performed and it was found that the Keulegan–Carpenter number (KC  ) was found to be the most important one. The error statistics for two classes of KC(KC<10andKC>10) indicated that the suggested approach performs better in the range of KC<10KC<10 for the prediction of dimensionless scour depth.

خرید مقاله
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