Based on the nonlinear characteristic of ANN

and on the basis of water flow FEM computation

the inversion method for seepage coefficient of dam is presented together with the observation data of water and seepage flux. In order to overcome some disadvantage of the traditional neural network

a new method of alternation and iterative algorithm based on simulated annealing applied in Neural Network is put forward. On the same initial conditions

the comparison of the new method with the neural network based on the traditional algorithm is accomplished; and the result shows the superiority and efficiency of the former one. At the same time

this algorithm is applied to seepage inversion analysis of dam

by using the inversed seepage coefficient to calculate seepage flow field. Numerical computation indicates that the method has high precision of identification and reliable inversion result

and can be applied to the practical engineering.