基于FCBP神经网络的网络管理预测理论研究

2014 IEEE Workshop on Electronics, Computer and Applications Pub Date : 2014-05-08 DOI:10.1109/IWECA.2014.6845573

Zhu Wei, Zhang Jianjun, Yang Ruopeng, Zhao Qian

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引用次数: 0

摘要

本文将预测理论引入到通信网络运行质量管理中。讨论了几种预测方法，提出了一种改进的快速收敛反向传播(FCBP)模型。在此基础上，设计并实现了运行质量管理预测模型。最后，将实际数据与模拟结果进行了比较，结果表明改进后的模型具有较高的精度。

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Research on the forecast theory for network management based on FCBP nerve network

In the paper, forecast theory is taken into the running quality management of the communication network. The paper discusses some forecast methods, and develops an improved FCBP (Fast Convergence Back Propagation) model. Based on it, the forecast model of the running quality management is designed and implemented. Finally, the comparison between the real data and the stimulation shows that the improved model is more precise than others.

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2014 IEEE Workshop on Electronics, Computer and Applications

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