A regression is put forward based on a wavelet function network algorithm to modify the measurement result.The network’s topological structure and its parameters evaluation method are designed by bonding the gradient GA algorithm and multi-nonlinear regression so as to avoid getting into infinitesimal locally effectively and keep the merits of high prediction precision and rapid convergence so as to enhance the measurement accuracy.The results show that the root mean-square relatively error is 0.084

the mean absolute relatively error is 0.117

and the maximize absolute relatively error is 0.159 between the measurement value and the real one.