Design of groundwater level prediction system based on BP neural network
In order to understand the dynamic of groundwater level and master the earthquake precursor dynamic, we designed groundwater level prediction system based on BP neural network. According to the groundwater level of Deyang, Sichuan Province, SWY-II digital water level meter is used to collect the gro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Progress in Earthquake Sciences
2023-04-01
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| Series: | 地震科学进展 |
| Subjects: | |
| Online Access: | https://www.gjdzdt.cn/en/article/doi/10.19987/j.dzkxjz.2022-118 |
| _version_ | 1827974914353659904 |
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| author | Shaohuan Liao Naiqian Zhao Xu Zhan |
| author_facet | Shaohuan Liao Naiqian Zhao Xu Zhan |
| author_sort | Shaohuan Liao |
| collection | DOAJ |
| description | In order to understand the dynamic of groundwater level and master the earthquake precursor dynamic, we designed groundwater level prediction system based on BP neural network. According to the groundwater level of Deyang, Sichuan Province, SWY-II digital water level meter is used to collect the groundwater level data of Deyang. Based on the collected water level data in 2015, the BP neural network is used to predict the change of groundwater level, and the data collected for one year are trained and tested. The structure of BP neural network is designed with three input nodes and one output node. In order to further validate the proposal, the groundwater level from July 1 to October 26, 2017 is predicted. The experiment shows that the scheme can predict groundwater level effectively and provide reliable data for earthquake precursor work. |
| first_indexed | 2024-04-09T20:02:07Z |
| format | Article |
| id | doaj.art-82fb10faf1bf49cc86d47116c4a1d3f8 |
| institution | Directory Open Access Journal |
| issn | 2096-7780 |
| language | zho |
| last_indexed | 2024-04-09T20:02:07Z |
| publishDate | 2023-04-01 |
| publisher | Editorial Office of Progress in Earthquake Sciences |
| record_format | Article |
| series | 地震科学进展 |
| spelling | doaj.art-82fb10faf1bf49cc86d47116c4a1d3f82023-04-03T03:30:10ZzhoEditorial Office of Progress in Earthquake Sciences地震科学进展2096-77802023-04-0153416517010.19987/j.dzkxjz.2022-1182022-118Design of groundwater level prediction system based on BP neural networkShaohuan Liao0Naiqian Zhao1Xu Zhan2Chengdu Earthquake Monitoring Center Station, Sichuan Earthquake Agency, Sichuan Chengdu 611730, ChinaChengdu Earthquake Monitoring Center Station, Sichuan Earthquake Agency, Sichuan Chengdu 611730, ChinaSchool of Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan Zigong 643000, ChinaIn order to understand the dynamic of groundwater level and master the earthquake precursor dynamic, we designed groundwater level prediction system based on BP neural network. According to the groundwater level of Deyang, Sichuan Province, SWY-II digital water level meter is used to collect the groundwater level data of Deyang. Based on the collected water level data in 2015, the BP neural network is used to predict the change of groundwater level, and the data collected for one year are trained and tested. The structure of BP neural network is designed with three input nodes and one output node. In order to further validate the proposal, the groundwater level from July 1 to October 26, 2017 is predicted. The experiment shows that the scheme can predict groundwater level effectively and provide reliable data for earthquake precursor work.https://www.gjdzdt.cn/en/article/doi/10.19987/j.dzkxjz.2022-118mcubp neural networkpredict |
| spellingShingle | Shaohuan Liao Naiqian Zhao Xu Zhan Design of groundwater level prediction system based on BP neural network 地震科学进展 mcu bp neural network predict |
| title | Design of groundwater level prediction system based on BP neural network |
| title_full | Design of groundwater level prediction system based on BP neural network |
| title_fullStr | Design of groundwater level prediction system based on BP neural network |
| title_full_unstemmed | Design of groundwater level prediction system based on BP neural network |
| title_short | Design of groundwater level prediction system based on BP neural network |
| title_sort | design of groundwater level prediction system based on bp neural network |
| topic | mcu bp neural network predict |
| url | https://www.gjdzdt.cn/en/article/doi/10.19987/j.dzkxjz.2022-118 |
| work_keys_str_mv | AT shaohuanliao designofgroundwaterlevelpredictionsystembasedonbpneuralnetwork AT naiqianzhao designofgroundwaterlevelpredictionsystembasedonbpneuralnetwork AT xuzhan designofgroundwaterlevelpredictionsystembasedonbpneuralnetwork |