Intellectual control technology of rehabilitant robot based on back propagation neural network

The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built. On the basis of the model, the weight of the network was adjusted through training and studying the electromyo-graphy (EMG) signal of normal people and the ideal control model was obtained. At last, the well output effect was gotten by the EMG signal of patients. The simulation instances show that the method of BP neural network converges faster than the conventional method and its accuracy is higher. The capacity of network generalization is better. This method can be used in the intellectual control of 5-DOF upper limb rehabilitant robot.