Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm
In order to solve the problems of low-risk assessment accuracy and long time-consuming assessment of current wireless mobile communication systems, a wireless mobile communication system based on artificial intelligence algorithms is proposed. First, the research status of risk assessment of wireles...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/1636033 |
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| _version_ | 1832563496517107712 |
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| author | Juan Du Mingqi Guo |
| author_facet | Juan Du Mingqi Guo |
| author_sort | Juan Du |
| collection | DOAJ |
| description | In order to solve the problems of low-risk assessment accuracy and long time-consuming assessment of current wireless mobile communication systems, a wireless mobile communication system based on artificial intelligence algorithms is proposed. First, the research status of risk assessment of wireless mobile communication system at home and abroad is analyzed, and the risk assessment index system of wireless mobile communication system is established; then, the learning samples are collected according to the risk assessment index system of wireless mobile communication system, and artificial intelligence algorithm is used to optimize the neural network. Build the wireless mobile communication system risk assessment model; finally, carry out the wireless mobile communication system risk assessment simulation comparison test. The experimental results show that the accuracy rate of the risk assessment of the wireless mobile communication system by the artificial intelligence algorithm is over 95%, and the assessment error is smaller than in other models. The risk assessment time of the wireless mobile communication system is significantly reduced, the real-time performance is better, and it has a higher practical application value. |
| format | Article |
| id | doaj-art-6680a19b4d3645c883a1ae4c88b6e327 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-6680a19b4d3645c883a1ae4c88b6e3272025-02-03T01:20:00ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/1636033Wireless Mobile Power Communication System Based on Artificial Intelligence AlgorithmJuan Du0Mingqi Guo1Yellow River Conservancy Technical InstituteYellow River Conservancy Technical InstituteIn order to solve the problems of low-risk assessment accuracy and long time-consuming assessment of current wireless mobile communication systems, a wireless mobile communication system based on artificial intelligence algorithms is proposed. First, the research status of risk assessment of wireless mobile communication system at home and abroad is analyzed, and the risk assessment index system of wireless mobile communication system is established; then, the learning samples are collected according to the risk assessment index system of wireless mobile communication system, and artificial intelligence algorithm is used to optimize the neural network. Build the wireless mobile communication system risk assessment model; finally, carry out the wireless mobile communication system risk assessment simulation comparison test. The experimental results show that the accuracy rate of the risk assessment of the wireless mobile communication system by the artificial intelligence algorithm is over 95%, and the assessment error is smaller than in other models. The risk assessment time of the wireless mobile communication system is significantly reduced, the real-time performance is better, and it has a higher practical application value.http://dx.doi.org/10.1155/2022/1636033 |
| spellingShingle | Juan Du Mingqi Guo Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm International Transactions on Electrical Energy Systems |
| title | Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm |
| title_full | Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm |
| title_fullStr | Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm |
| title_full_unstemmed | Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm |
| title_short | Wireless Mobile Power Communication System Based on Artificial Intelligence Algorithm |
| title_sort | wireless mobile power communication system based on artificial intelligence algorithm |
| url | http://dx.doi.org/10.1155/2022/1636033 |
| work_keys_str_mv | AT juandu wirelessmobilepowercommunicationsystembasedonartificialintelligencealgorithm AT mingqiguo wirelessmobilepowercommunicationsystembasedonartificialintelligencealgorithm |