کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7114259 | 1461099 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of hydraulic characteristics for hollow semi-circular weirs using artificial neural networks
ترجمه فارسی عنوان
تجزیه و تحلیل ویژگی های هیدرولیکی برای غارهای نیمه دایره ای توخالی با استفاده از شبکه های عصبی مصنوعی
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
Weirs are small overflow dams used to alter and raise water flow upstream and regulate or spill water downstream watercourses and rivers. This paper presents the application of artificial neural network (ANN) to determine the discharge coefficient (Cd) for a hollow semi-circular crested weirs. Eighty five experiments were performed in a horizontal rectangular channel of 10Â m length, 0.3Â m width and 0.45Â m depth for a wide range of discharge. The results of examination for discharge coefficient were yielded by using multiple regression equation based on dimensional analysis. Then, the results obtained were also compared using ANN techniques. A multilayer perceptron MLP algorithm FFBP network was developed. The optimal configuration of ANN was [2,10,1] which gave mean square error (MSE) and correlation coefficient (R) of 0.0011 and 0.91, respectively. Performances of ANN model reveal that the Cd could be better estimated by the ANN technique in comparison with Cd obtained using statistical approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Flow Measurement and Instrumentation - Volume 38, August 2014, Pages 49-53
Journal: Flow Measurement and Instrumentation - Volume 38, August 2014, Pages 49-53
نویسندگان
Inaam A. Juma, Hamid H. Hussein, Mohammed F. Al-Sarraj,