The characteristics of stressed-lap structure and control system are analysised.The structure and principle of CMAC neural networks model are introduced. The idea and implementing method of inverse deformation intelligent control for stressed-lap by CMAC neural networks are put forward. The training of the CMAC neural networks according to the parameters of stressed-lap surface deformation and the corresponding voltage of actuators is obtained. The trained CMAC neural networks have been completed,so that it will be able to apply the trained CMAC neural networks as a controller for stressed-lap deformation controlling. The computer simulation of 5% error is achieved.