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.
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Yang et al. (1996) studied this question.