Simulation of Internet Time-Delay Prediction Based on RBF Neural Network
Yao Jun-lan · Ordnance Industry Automation · 2006
The orthogonal least-squares algorithm (OLS Algorithm) was adopted by RBF neural network to decide the element numbers of implication layer, the center of basic function and weight means. The every input sample was taken as the clustering center. As the increasing orthogonal calculations, the output error square of Internet was reduced to designed error category. The node numbers of implication layer and weight means of network were achieved. The effectiveness of RBF neural network was proved by simulation.