In this paper, we propose a load-balancing algorithm for the parallel rule extraction system from trained neural networks. For efficient parallel computing in the rule extraction system, we need to reallocate fuzzy input vectors to each node in a PC cluster. Our proposed algorithm works very well to compute efficiently on several types of PC clusters.