Pages that link to "Item:Q1787661"
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The following pages link to Modeling the Neuman's well function by an artificial neural network for the determination of unconfined aquifer parameters (Q1787661):
Displaying 8 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)
- Approximating a finite element model by neural network prediction for facility optimization in groundwater engineering (Q555926) (← links)
- Water distribution under trickle irrigation predicted using artificial neural networks (Q834676) (← links)
- Estimation of heterogeneous aquifer parameters from piezometric data using ridge functions and neural networks (Q1423630) (← links)
- The use of ANN for the prediction of the modified relative permeability functions in stratified reservoirs (Q1682805) (← links)
- A computer method based on simulated annealing to identify aquifer parameters using pumping-test data (Q2856194) (← links)
- Analysis of photovoltaic actuated water pump system using neural network (Q5410293) (← links)
- An efficient tool for accelerating the numerical solution of the stochastic subsurface flow problem using neural networks (Q5938220) (← links)
