In order to deal with specific question by the wavelet neural network，it is necessary to optimizetraining the varios parameters. For optimizing the parameters，the improved immune genetic algorithm that introducesniche technology is presented. This improved immune genetic algorithm that use the rule of the concentration of thebiological immune system suppression effectively improves the diversity of population，speeds up theconvergencespeed and keeps better stability calculation. At the same time，putting forward the strategies of thelinear decreasinggenetic variation，it makes the mutation operation more scientific. Through the implementation of specific data，itproves the immune genetic algorithm in solving the parameters of wavelet neural network optimization has a goodperformance. At last，through the simulation results of double inverted pendulumexperiment verifies that the control-er by designed has a good control effect.