Computation of Theis Model with Curve Fitting Method-based BP Artificial Neural Network

Abstract:

Curve fitting method is the most common method to determine the parameters of the transient flow pumping tests,but its main drawback is that curves are often rely solely on individual manipulation.Based on curve fitting method,a modified BP artificial neural network is used to solve the approximately analytical solutions of Theis equation for the problem of the unsteady flow of fully penetrating wells in confined aquifers,and the curve fitting-based BP artificial neural network is proposed.It avoids inappropriate trained range.It also reduces the network topology with a simpler artificial neural network structure,as this can reduce training time,improve network generalization and prevent over-fitting.The case calculating results indicate that the proposed BP artificial neural network is an efficient method to solve hydrogeological parameters by utilizing the pumping test.Furthermore,the proposed BP artificial neural network could be used widely in the solution for hydrogeological issues.