Bandwidth prediction of power communication network based on DBN-Softmax

Jia LI; Li CONG; Hua JIANG; Yang HU; Meng XU

doi:10.11959/j.issn.1000-0801.2020155

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Bandwidth prediction of power communication network based on DBN-Softmax

Operation Technology | 更新时间：2024-06-05

- Bandwidth prediction of power communication network based on DBN-Softmax
- Telecommunications Science Vol. 36, Issue 10, Pages: 153-158(2020)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2020155
  CLC： TN913.7
- Published Online：2020-10，
  
  Published：20 October 2020
- 稿件说明：
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Jia LI, Li CONG, Hua JIANG, et al. Bandwidth prediction of power communication network based on DBN-Softmax[J]. Telecommunications science, 2020, 36(10): 153-158.
DOI：

Jia LI, Li CONG, Hua JIANG, et al. Bandwidth prediction of power communication network based on DBN-Softmax[J]. Telecommunications science, 2020, 36(10): 153-158. DOI： 10.11959/j.issn.1000-0801.2020155.

摘要

随着电力通信网的变化，电力通信网承载业务数据呈指数级增长，对电力通信网的处理能力提出了更高要求。为保障通信网的服务质量，针对目前网络带宽分配不合理现象，提出基于深度置信的电力通信网带宽预测算法，该算法通过由限制玻尔兹曼机构成的深度置信网络获取能够完美表达网络带宽的特征，实现对电力通信网规划阶段带宽的合理预测。实验结果表明，与传统神经网络算法相比，所提算法在预测精度和稳健性方面更具有优势，可以提高电力通信网的承载能力，为电力系统的安全稳定运行提供有力的保障。

Abstract

With the change of the power communication network

the data of the bearer service of the power communication network has increased exponentially

which puts higher requirements on the processing capability of the power communication network.In order to guarantee the service quality of communication network

aiming at the current unreasonable distribution of network bandwidth

a bandwidth prediction algorithm based on deep confidence for power communication network was proposed.The deep confidence network formed by the Boltzmann machine was used to obtain the characteristics that could perfectly express the network bandwidth

and the reasonable prediction of the bandwidth of the power communication network planning stage was realized.The implementation results show that the proposed algorithm is more accurate and robust than neural network.It has the advantage of improving the carrying capacity of the power communication network and providing a powerful guarantee for the safe and stable operation of the power system.

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references

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