Pages that link to "Item:Q982925"
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The following pages link to Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel (Q982925):
Displaying 10 items.
- A neural network approach for prediction of critical submergence of an intake in still water and open channel flow for permeable and impermeable bottom (Q416599) (← links)
- Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels (Q532481) (← links)
- A multi-output descriptive neural network for estimation of scour geometry downstream from hydraulic structures (Q543893) (← links)
- Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient (Q668782) (← links)
- Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin (Q833637) (← links)
- Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers (Q1028211) (← links)
- Discharge coefficient of rectangular side weirs on circular channels (Q1661991) (← links)
- Artificial neural network approaches for prediction of backwater through arched bridge constrictions (Q2379596) (← links)
- Comparison of an ANN approach with 1-D and 2-D methods for estimating discharge capacity of straight compound channels (Q2654461) (← links)
- Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique (Q2654467) (← links)
