توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A comparison of sophisticated neural network and Finite Element Method in estimating of variations in permeability of earth–dam body in leakage phenomenon
اطلاعات انتشار: ششمین کنگره ملی مهندسی عمران، سال
تعداد صفحات: ۸
Leakage is one of the most important problems in earth dam construction. Lake of leakage phenomenon analysis for earth dams can lead to destructive problems like increase in leakage forces, increase in pore water pressure and instability of the earth dam. In this study, leakage in two sections of an earth dam are modeled and analyzed by Finite Element Method (FEM), Multilayer Pereceptron network (MLP) and Radial Basis Function network (RBF) and the results are compared. Based on the results, it can be concluded that FEM prediction are not compatible with actual data, whereas sophisticated neural network give acceptable results<\div>

۲Estimating variations in permeability of earth–dam body during leakage phenomenon by neural network
اطلاعات انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی، سال
تعداد صفحات: ۸
Leakage is one of the most important problems in earth dam construction. Lack of leakage phenomenon analysis for earth dams lead to destructive problems like increase in leakage forces, increase in pore water pressure and stability of the earth dam. In this study, leakage in two sections of an earth dam are modeled and analyzed by Finite Element Method (FEM), Multi Layer Perceptron network (MLP) and Radial Basis Function network (RBF). Predictions made by each of the methods are compared and it can be concluded that FEM prediction are not compatible with actual data, whereas sophisticated neural networks make acceptable predictions<\div>
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