Ahmad Neyamadpour
Faculty of Earth Sciences, Shahid Chamran University, Ahvaz, Iran
[ 1 ] - Groundwater level simulation using artificial neural network: a case study from Aghili plain, urban area of Gotvand, south-west Iran
In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...
نویسندگان همکار