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，阐述系统所需实验环境下相关软件和工具的配置及管理，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 internet quality of service based on intelligent algorithms to predict and implementation, a combination of theory and technology, on the configuration and management of software and tools required experimental environment, rbf neural network algorithm applied to th

This paper focuses on the intelligent algorithm based on quality Internet forecast and how, the combination of theory and technical systems, on the required lab environment related software, and tools of configuration and management, RBF neural network algorithms will be applied to the projected val

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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, explained system by needed experimental environment Xia related software and tools of configuration and the management

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