Pages that link to "Item:Q1009932"

The following pages link to Adaptive neuro-fuzzy computing technique for suspended sediment estimation (Q1009932):

Displaying 8 items.

• Cross-shore sediment transport estimation using fuzzy inference system in the swash zone (Q658604) (← links)
• Constructing neural network sediment estimation models using a data-driven algorithm (Q947928) (← links)
• Neuro-fuzzy modelling of suspended sediment load: The need for a sound comparison with established methods (Q982937) (← links)
• A machine code-based genetic programming for suspended sediment concentration estimation (Q994228) (← links)
• Determining turbulent flow friction coefficient using adaptive neuro-fuzzy computing technique (Q1005572) (← links)
• Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing \(L_{1/2}\) regularization for the first-order Takagi-Sugeno system (Q1697505) (← links)
• River flow estimation using adaptive neuro fuzzy inference system (Q2372451) (← links)
• Artificial neural network approaches for prediction of backwater through arched bridge constrictions (Q2379596) (← links)