Pages that link to "Item:Q2379596"
From MaRDI portal
The following pages link to Artificial neural network approaches for prediction of backwater through arched bridge constrictions (Q2379596):
Displaying 6 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)
- A multi-output descriptive neural network for estimation of scour geometry downstream from hydraulic structures (Q543893) (← links)
- Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin (Q833637) (← links)
- Modeling of effluent COD in UAF reactor treating cyanide containing wastewater using artificial neural network approaches (Q994250) (← links)
- Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers (Q1028211) (← links)
- Artificial neural networks in structural dynamics: a new modular radial basis function approach vs. convolutional and feedforward topologies (Q2180502) (← links)