Computation of subsurface drain spacing in the unsteady conditions using Artificial Neural Networks (ANN)

Abstract Artificial neural networks are a tool for modeling of nonlinear systems in various engineering fields. These effective tools the systems. Each artificial network includes an input layer, output layer between which there one or some hidden layers. In each several processing elements neurons. The neurons independent variables understudy issue, and its dependent variables. system, through exerting weight on inputs by suing activation function attempts to achieve desirable output. this research, order calculate drain spacing unsteady state region situated north east Ahwaz, Iran with different soil properties spacing, have been used. were: Specific yield, hydraulic conductivity, depth impermeable height water table middle interval drains two-time steps. were spacing. designed research was included four distance computed via method had good agreement real values high precision compare other methods.