Forecasting furrow irrigation infiltration using artificial neural networks

Volume: 148, Pages: 63 - 71
Published: Jan 1, 2015
Abstract
An artificial neural network (ANN) was developed for estimating the infiltrated water volume (Z) under furrow irrigation. A feed-forward neural network using back-propagation training algorithm was developed for the prediction. Four variables were used as input parameters; inflow rate (Qo), furrow length (L), waterfront advance time at the end of the furrow (TL) and infiltration opportunity time (To). The Z was the one node in the output layer....
Paper Details
Title
Forecasting furrow irrigation infiltration using artificial neural networks
Published Date
Jan 1, 2015
Volume
148
Pages
63 - 71
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