求翻译：本论文侧重探讨基于智能算法的Internet服务质量预测及实现方式，结合运用相关的理论与技术，将RBF神经网络算法运用到对QoS参数值预测internet服务质量中，首先对RBF神经网络的结构进行介绍，再将此算法运用到对Internet服务质量进行预测中，然后运用matlab工具函数建立基于RBF神经网络算法的Qos预测模型，通过计算机仿真验证RBF神经网络在Qos预测中是可行且有效的。是什么意思？

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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