This thesis is focused to explore forecast internet quality of service based on intelligent algorithms and implementations, a combination of theory and technology, rbf neural network algorithm is applied to predict the internet QOS qos parameter values, first described the structure of the rbf neura

This paper focuses on the algorithm based on the Smart Internet quality forecasts and how, the combination of theory and technology, RBF neural network algorithms will be applied to predict the value of the parameter QoS Internet service quality, the first of RBF neural network structure will be int

The present paper stress discussion based on the intelligent algorithm Internet grade of service forecast and the realization way, the union utilization correlation theories and the technology, utilizes the RBF neural network algorithm to the QoS parameter value forecast in the internet grade of ser

This papers focused on discussion based on intelligent algorithm of Internet service quality forecast and the implementation way, combination using related of theory and technology, will RBF Neural Network algorithm using to on QoS parameter value forecast Internet service quality in the, first on R

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