کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1726796 1520766 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Linear genetic programming for prediction of circular pile scour
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله
Linear genetic programming for prediction of circular pile scour
چکیده انگلیسی

Genetic programming (GP) has nowadays attracted the attention of researchers in the prediction of hydraulic data. This study presents linear genetic programming (LGP), which is an extension to GP, as an alternative tool in the prediction of scour depth around a circular pile due to waves in medium dense silt and sand bed. Field measurements were used to develop LGP models. The proposed LGP models were compared with adaptive neuro-fuzzy inference system (ANFIS) model results. The predictions of LGP models were observed to be in good agreement with measured data, and quite better than ANFIS and regression-based equation of scour depth at circular piles. The results were tabulated in terms of statistical error measures and illustrated via scatter plots.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 36, Issues 12–13, September 2009, Pages 985–991
نویسندگان
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