The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.

The application of additional momentum and adaptive learning rate overcomes the limitation effect of BP rule, accelerates the training speed and strengthens the generalization ability of network.

The model may solve a kind of problems of synthetic evaluation by determining standard objects, processing data normally, network adaptive learning and evaluation result output.