Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Amir Hossein Zaji"'
Publikováno v:
Applied Water Science, Vol 9, Iss 6, Pp 1-17 (2019)
Abstract In this study, a comparative analysis is done to evaluate the ability of classified radial basis function neural network (CRBFNN) model in estimation of flow variables in sharp open-channel bends with bend angles of 60° and 90°. Accordingl
Externí odkaz:
https://doaj.org/article/849c9faf77ed4c7eae2938b2e598fc05
Publikováno v:
Alexandria Engineering Journal, Vol 57, Iss 3, Pp 1783-1795 (2018)
A new hybrid decision tree (DT) technique based on two artificial neural networks (ANN), namely multilayer perceptron (MLP) and radial basis function (RBF), is proposed to predict sediment transport in clean pipes (i.e. without deposition). The param
Externí odkaz:
https://doaj.org/article/47478db579fa4938bee5def005c730d4
Autor:
Hossein Bonakdari, Amir Hossein Zaji
Publikováno v:
Applied Water Science, Vol 8, Iss 1, Pp 1-15 (2018)
Abstract In many hydraulic structures, side weirs have a critical role. Accurately predicting the discharge coefficient is one of the most important stages in the side weir design process. In the present paper, a new high efficient side weir is inves
Externí odkaz:
https://doaj.org/article/4d762b12b2174b9092c67e44e98e9be6
Publikováno v:
Journal of Applied Research in Water and Wastewater, Vol 4, Iss 1, Pp 281-289 (2017)
Weirs are installed on open channels to adjust and measure the flow. Also, discharge coefficient is considered as the most important hydraulic parameter of a weir. In this study, using the Radial Base Neural Networks (RBNN) and M5' methods, the disch
Externí odkaz:
https://doaj.org/article/d6c4cfdccef8427486ee4738dfcd1168
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 10, Iss 1, Pp 193-208 (2016)
A modified multi-layer perceptron (MLP) model based on decision trees (DT-MLP) is presented to predict velocity and water free-surface profiles in a 90° open-channel bend. The ability of the new hybrid model to predict the velocity and flow depth in
Externí odkaz:
https://doaj.org/article/52b96867fae74ef4838ccb57d700415c
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 18, Iss 4, Pp 746-757 (2015)
Estimating the discharge coefficient using hydraulic and geometrical specifications is one of the influential factors in predicting the discharge passing over a side weir. Taking into account the fact that existing equations are incapable of estimati
Externí odkaz:
https://doaj.org/article/80caedfdf483474eaf3f23590d770cb6
Publikováno v:
Complex & Intelligent Systems. 7:401-416
Sedimentation in open channels occurs frequently and is relative to system inflow. The long-term retention of sediments on channel beds can increase the possibility of variations in deposits and their eventual consolidation. This study compares three
Publikováno v:
Comptes Rendus. Géoscience. 352:73-86
Publikováno v:
Water Resources Management. 33:4215-4230
This study presents a novel method for more accurate forecasting freshwater Lake Levels with complex fluctuation patterns due to multiple anthropogenic demands and climate factors. The new method employs the mighty King’s Castle Optimization (KCO)
Publikováno v:
Hydrological Sciences Journal. 64:856-872
The complex stream bank profiles in alluvial channels and rivers that are formed after reaching equilibrium has been a popular topic of research for many geomorphologists and river engineers. The e...