دورية أكاديمية
Prediction of Froude Number of Three Phases Flow in Sewer Systems Using Extreme Learning Machines
| العنوان: | Prediction of Froude Number of Three Phases Flow in Sewer Systems Using Extreme Learning Machines |
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| المؤلفون: | Fariborz Yosefvand, Saeid Shabanlo, Mohammad Ali Izadbakhsh |
| المصدر: | آب و فاضلاب, Vol 30, Iss 5, Pp 121-126 (2019) |
| بيانات النشر: | Water and Wastewater Consulting Engineers Research Development, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Technology LCC:Water supply for domestic and industrial purposes |
| مصطلحات موضوعية: | sewer channel, froud number, extreme learning machine, artificial neural network, support vector machine, Technology, Water supply for domestic and industrial purposes, TD201-500, Sewage collection and disposal systems. Sewerage, TD511-780 |
| الوصف: | Generally, circular channels are used in urban sewage systems where the flow is a three phase flow including water, air, and sediments. Accordingly, there are many studies carried out by different researchers related to flow within sewage channels. In current study, the Froude number of three phase flow within sewer channels is predicted using Extreme Learning Machine (ELM). Using parameters affecting the Froude number, 127 various ELM models were defined. The superior model was then introduced. For instance, for the superior model as a function of volumetric sediment concentration, the ratio of the particle size to overall hydraulic radius and overall friction factor for sediment load of 60% and 40% in train and test, respectively, the R2, MAPE and RMSE in testing mode were calculated as 0.856, 0.117, and 0.738, respectively. In addition, the results of superior model were compared with Artificial Neural Network (ANN) and support Vector Machine (SVM) models. Analyses of modeling results showed that extreme learning machine simulated the aim function with more accuracy. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Persian |
| تدمد: | 1024-5936 2383-0905 |
| العلاقة: | http://www.wwjournal.ir/article_81493_1d5aeb9c4897797713f29e049055f39a.pdfTest; https://doaj.org/toc/1024-5936Test; https://doaj.org/toc/2383-0905Test |
| DOI: | 10.22093/wwj.2018.106161.2543 |
| الوصول الحر: | https://doaj.org/article/8ccc59a98a1c424cb6a617ee37f660fdTest |
| رقم الانضمام: | edsdoj.8ccc59a98a1c424cb6a617ee37f660fd |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 10245936 23830905 |
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| DOI: | 10.22093/wwj.2018.106161.2543 |