Research on intelligent cognitive spectrum prediction technology based on BP neural network
In order to make the spectrum access of communication users more effective and enhance the flexibility of spectrum utilization in time domain and space domain, this paper firstly introduces the process of BP neural network learning with the steepest descent method, and makes mathematical modeling fo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2021-01-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000128138 |
| _version_ | 1818640379160821760 |
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| author | Chi Wensheng Yuan Dan Xiao Zonghao |
| author_facet | Chi Wensheng Yuan Dan Xiao Zonghao |
| author_sort | Chi Wensheng |
| collection | DOAJ |
| description | In order to make the spectrum access of communication users more effective and enhance the flexibility of spectrum utilization in time domain and space domain, this paper firstly introduces the process of BP neural network learning with the steepest descent method, and makes mathematical modeling for the spectrum prediction algorithm of BP neural network. By learning and training the electromagnetic spectrum state in a period of time, this paper makes the algorithm model establish the cognitive relationship between the input data and the output results by adjusting the parameters. Then, the structure of BP neural network algorithm was changed, and the weights and thresholds were optimized, so that the accuracy of spectrum prediction data was closer to the actual value and the prediction error was reduced. |
| first_indexed | 2024-12-16T23:10:20Z |
| format | Article |
| id | doaj.art-42a823902f474468adf47d899a902d24 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-16T23:10:20Z |
| publishDate | 2021-01-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-42a823902f474468adf47d899a902d242022-12-21T22:12:27ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982021-01-01471646810.16157/j.issn.0258-7998.2007493000128138Research on intelligent cognitive spectrum prediction technology based on BP neural networkChi Wensheng0Yuan Dan1Xiao Zonghao2Equipment Management and UAV Engineering College，Air Force Engineering University，Xi′an 710051，ChinaEquipment Management and UAV Engineering College，Air Force Engineering University，Xi′an 710051，ChinaGraduate College，Air Force Engineering University，Xi′an 710051，ChinaIn order to make the spectrum access of communication users more effective and enhance the flexibility of spectrum utilization in time domain and space domain, this paper firstly introduces the process of BP neural network learning with the steepest descent method, and makes mathematical modeling for the spectrum prediction algorithm of BP neural network. By learning and training the electromagnetic spectrum state in a period of time, this paper makes the algorithm model establish the cognitive relationship between the input data and the output results by adjusting the parameters. Then, the structure of BP neural network algorithm was changed, and the weights and thresholds were optimized, so that the accuracy of spectrum prediction data was closer to the actual value and the prediction error was reduced.http://www.chinaaet.com/article/3000128138bp neural networkspectrum statespectrum prediction |
| spellingShingle | Chi Wensheng Yuan Dan Xiao Zonghao Research on intelligent cognitive spectrum prediction technology based on BP neural network Dianzi Jishu Yingyong bp neural network spectrum state spectrum prediction |
| title | Research on intelligent cognitive spectrum prediction technology based on BP neural network |
| title_full | Research on intelligent cognitive spectrum prediction technology based on BP neural network |
| title_fullStr | Research on intelligent cognitive spectrum prediction technology based on BP neural network |
| title_full_unstemmed | Research on intelligent cognitive spectrum prediction technology based on BP neural network |
| title_short | Research on intelligent cognitive spectrum prediction technology based on BP neural network |
| title_sort | research on intelligent cognitive spectrum prediction technology based on bp neural network |
| topic | bp neural network spectrum state spectrum prediction |
| url | http://www.chinaaet.com/article/3000128138 |
| work_keys_str_mv | AT chiwensheng researchonintelligentcognitivespectrumpredictiontechnologybasedonbpneuralnetwork AT yuandan researchonintelligentcognitivespectrumpredictiontechnologybasedonbpneuralnetwork AT xiaozonghao researchonintelligentcognitivespectrumpredictiontechnologybasedonbpneuralnetwork |