Aimed at some limitation of the traditional BP neural network

the radial basic function neural network (RBFNN) is brought forward. On the same convergence condition

RBFNN is compared with the neural network based on the traditional algorithm and the excellence of the former is explained

As an example

on the basis of the nonlinear characteristic of ANN and 3-D seepage flow FEM computation

inversion results of the dam percolation parameter are obtained. The seepage flow field is analyzed by using the inversion results; the forecasted water heads approach to the observed values

which illuminates the result is accurate; RBFNN applied to the back analysis is reliable.