Comparative Investigation of BP and RBF Neural Network on Identifying Reliability of Communication Networks

In this paper, BP and RBF models for evaluating the running reliability of communication networks is presented on the basis of artificial neural network. The applicability of the two neural networks are investigated to the reliability of communication networks system. The study shows that the model established by BP network has a good general ability and a slow impending speed, on the other hand, the model established by RBF neural network has a bad general ability and a fast impending speed. The two models can provide well base to reliability of communication networks for analysis and calculation and the optimum of structure. The simulation results highly indicate the usefulness of the method pointed out in this study. The conclusion will provide theoretical guide for practice application.