A SA-BP neural network algorithm based channel quality evaluation method in optical access network
So far,existing works related to quality evaluation of channel mainly focused on equipment layer and network layer in optical access network.Most of researches lack synthesis evaluation methods covering physical layer,network layer and business layer.As a result,it is hard for administrators to judg...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2018-04-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018124/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841530405300207616 |
|---|---|
| author | Bingqing CAI Siya XU Feng QI Weichun GE Guiping ZHOU Botao YU Yueyue LI |
| author_facet | Bingqing CAI Siya XU Feng QI Weichun GE Guiping ZHOU Botao YU Yueyue LI |
| author_sort | Bingqing CAI |
| collection | DOAJ |
| description | So far,existing works related to quality evaluation of channel mainly focused on equipment layer and network layer in optical access network.Most of researches lack synthesis evaluation methods covering physical layer,network layer and business layer.As a result,it is hard for administrators to judge the actual quality of channel by network monitoring completely and accurately.To solve this problem,key influence factors of channel quality in optical access network was analyzed firstly,and a comprehensive multi-layer-multi-index evaluation model of channel quality was proposed.Then a SA-BP neural network algorithm was designed to train the parameters of the proposed evaluation model to make the result more accurate.The simulation results show that the proposed method has higher accuracy and stability,and can improve the quality and efficiency of network operation and maintenance. |
| format | Article |
| id | doaj-art-cef57e8d754e404db0cf87f1ae3219c0 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-cef57e8d754e404db0cf87f1ae3219c02025-01-15T03:04:55ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-04-013416217259596194A SA-BP neural network algorithm based channel quality evaluation method in optical access networkBingqing CAISiya XUFeng QIWeichun GEGuiping ZHOUBotao YUYueyue LISo far,existing works related to quality evaluation of channel mainly focused on equipment layer and network layer in optical access network.Most of researches lack synthesis evaluation methods covering physical layer,network layer and business layer.As a result,it is hard for administrators to judge the actual quality of channel by network monitoring completely and accurately.To solve this problem,key influence factors of channel quality in optical access network was analyzed firstly,and a comprehensive multi-layer-multi-index evaluation model of channel quality was proposed.Then a SA-BP neural network algorithm was designed to train the parameters of the proposed evaluation model to make the result more accurate.The simulation results show that the proposed method has higher accuracy and stability,and can improve the quality and efficiency of network operation and maintenance.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018124/optical access networkchannel qualityevaluation modelsimulated annealing-back propagation neural network algorithm |
| spellingShingle | Bingqing CAI Siya XU Feng QI Weichun GE Guiping ZHOU Botao YU Yueyue LI A SA-BP neural network algorithm based channel quality evaluation method in optical access network Dianxin kexue optical access network channel quality evaluation model simulated annealing-back propagation neural network algorithm |
| title | A SA-BP neural network algorithm based channel quality evaluation method in optical access network |
| title_full | A SA-BP neural network algorithm based channel quality evaluation method in optical access network |
| title_fullStr | A SA-BP neural network algorithm based channel quality evaluation method in optical access network |
| title_full_unstemmed | A SA-BP neural network algorithm based channel quality evaluation method in optical access network |
| title_short | A SA-BP neural network algorithm based channel quality evaluation method in optical access network |
| title_sort | sa bp neural network algorithm based channel quality evaluation method in optical access network |
| topic | optical access network channel quality evaluation model simulated annealing-back propagation neural network algorithm |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018124/ |
| work_keys_str_mv | AT bingqingcai asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT siyaxu asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT fengqi asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT weichunge asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT guipingzhou asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT botaoyu asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT yueyueli asabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT bingqingcai sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT siyaxu sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT fengqi sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT weichunge sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT guipingzhou sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT botaoyu sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork AT yueyueli sabpneuralnetworkalgorithmbasedchannelqualityevaluationmethodinopticalaccessnetwork |