Neural Networks have been paid more and more attention in robotics owing toits excellent abilities of parallel distributed processing，self-organizing and self-learning. This paper inquire into and analyzes the potential application of BP networks to solve robot manipulator inverse kinematic problem with multi-solutions. The illustrative example shows that the neural network can be trained to generate a fairly accurate solution without costly derivations and programming of the inverse kinematic algorithm.