Transactions of the ASAE · 1996 · 46 citations · 0 references
EngineeringCivil EngineeringHydrologyDrainage EngineeringHydrologic ModelingWater Resources EngineeringDrainage HydrologyDrainage ManagementDrainage SystemsHydraulic ModelingWater Table ManagementWatershed ModelingArtificial DrainageDrainage ModelingDrainage ModellingDrainage SimulationDrainage Simulation ModelsDrainage System DesignNeural Network ModelingWater Table Depth
An artificial neural network (ANN) model was developed and trained by using the simulated midspan water table depths from DRAINMOD, a conventional water table management model. Compared to DRAINMOD, the model is very simple to run, and requires only a small amount of data, such as precipitation, evapotranspiration, and initial midspan water table depth.