Bandwidth prediction of power communication network based on DBN-Softmax
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 n...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020155/ |
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| _version_ | 1841528966486163456 |
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| author | Jia LI Li CONG Hua JIANG Yang HU Meng XU |
| author_facet | Jia LI Li CONG Hua JIANG Yang HU Meng XU |
| author_sort | Jia LI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cf03b32e35b6418aae0b282f75f01d00 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-cf03b32e35b6418aae0b282f75f01d002025-01-15T03:31:59ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-10-013615315859812992Bandwidth prediction of power communication network based on DBN-SoftmaxJia LILi CONGHua JIANGYang HUMeng XUWith 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020155/power communication networkdeep confidencemachine learningbandwidth prediction |
| spellingShingle | Jia LI Li CONG Hua JIANG Yang HU Meng XU Bandwidth prediction of power communication network based on DBN-Softmax Dianxin kexue power communication network deep confidence machine learning bandwidth prediction |
| title | Bandwidth prediction of power communication network based on DBN-Softmax |
| title_full | Bandwidth prediction of power communication network based on DBN-Softmax |
| title_fullStr | Bandwidth prediction of power communication network based on DBN-Softmax |
| title_full_unstemmed | Bandwidth prediction of power communication network based on DBN-Softmax |
| title_short | Bandwidth prediction of power communication network based on DBN-Softmax |
| title_sort | bandwidth prediction of power communication network based on dbn softmax |
| topic | power communication network deep confidence machine learning bandwidth prediction |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020155/ |
| work_keys_str_mv | AT jiali bandwidthpredictionofpowercommunicationnetworkbasedondbnsoftmax AT licong bandwidthpredictionofpowercommunicationnetworkbasedondbnsoftmax AT huajiang bandwidthpredictionofpowercommunicationnetworkbasedondbnsoftmax AT yanghu bandwidthpredictionofpowercommunicationnetworkbasedondbnsoftmax AT mengxu bandwidthpredictionofpowercommunicationnetworkbasedondbnsoftmax |