Dynamic prediction model of groundwater level based on improved BP algorithm
Wei Yang · Water Resources Protection · 2007
A groundwater depth predication model of artificial neural network(ANN) for West Jilin was established based on a self-adapted BP algorithm.First,the input and output samples for the network were determined through autoregression analysis,then the hidden units using the trial-and-error method and an ANN model with a structure of 6:10:1 were determined for the simulation and prediction of dynamics of groundwater;finally,a computer program was made with VB according to the improved BP algorithm.The validations of the model show that the precision of the simulation and prediction is high.This model can be applied to the forecast of groundwater dynamics.The predictions after 2002 indicate a continuing decline of groundwater level in the regions,which should be controlled in time.