Open Access
| Issue |
E3S Web of Conf.
Volume 393, 2023
2023 5th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2023)
|
|
|---|---|---|
| Article Number | 02025 | |
| Number of page(s) | 4 | |
| Section | Ecological Protection and Sustainable Development Research | |
| DOI | https://doi.org/10.1051/e3sconf/202339302025 | |
| Published online | 02 June 2023 | |
- LIN Binbin, YUAN Quan, TIAN Zhixin, PAN Xianbin, ZHOU Wenzong, XU Zhen. Dissolved oxygen prediction of yellow eel pond based on SSA-LSTM model[J]. Fishery Modernization, 2023, 50(01):71-79. [Google Scholar]
- ZHAO Jingyu, CHI Yue, ZHOU Yatong. Short-term power load prediction based on SSA-LSTM model[J]. Advanced Technologyof Electrical Engineering and Energy,2022,41(06):71-79. [Google Scholar]
- Zu Linlu, Liu Pingzeng, Zhao Yanping, Li Tianhua, Li Hui. Research on solar greenhouse environment prediction model based on SSA-LSTM[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(02):351-358.. [Google Scholar]
- YU Zhenzhen, ZOU Huafen, YU Deshui, WANG Chun, LIU Tianxiang, ZHANG Xinyue. Prediction model of soil oxygen content in maize based on SSA-LSTM[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(11):360-368+411. [Google Scholar]
- YIN Jiang, DAI Chunping, YUAN Huabaofeng, HU Wanping, QIAN Zhengjie. Short-term power load prediction based on APSO-LSTM model[J]. Science Technology and Innovation,2023(02):47-51. DOI:10.15913/j.cnki.kjycx.2023.02.013.) [CrossRef] [Google Scholar]
- Wang Zhongfu. Journal of Xi'an University of Posts and Telecommunications,2011,16(05): 122-127. DOI: 10.13682/j.issn.2095-6533.2011.05.002.) [CrossRef] [Google Scholar]
- SUN Kaizhen, LIU Yang, JIANG Tenglong, MA Shanshan, LIU Jianjun. Journal of Hebei Institute of Environmental Engineering,2022,32(06):78-82. DOI:10.13358/j.issn.2096-9309.2022.0708.03. [Google Scholar]
- WANG Boquan, JIN Chuanxin, ZHOU Ron, SHEN Di, JIANG Zhiqiang. Research on water quality prediction of Xili Reservoir based on LSTM[J/OL]. Journal of Yangtze River Scientific Research Institute:1-9[2023-03-28].http://kns.cnki.net/kcms/de-tail/42.1171.TV.20230210.1432.004.html [Google Scholar]
- LIU Huanan. Analysis and prediction of lake water quality trend based on LSTM and BP neural network[D]. Huazhong University of Science and Technology,2021.DOI:10.27157/d.cnki.ghzku.2021.000833.) [Google Scholar]
- YU Shengnan. Research on water quality prediction of sewage treatment plant based on LSTM neural network[D]. Hefei University, 2022. DOI: 10.27876/d.cnki.ghfxy.2022.000009.) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.