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Yu Feng 0008
Person information
- affiliation: Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China
- affiliation: Sichuan University, College of Water Resource and Hydropower, State Key Laboratory of Hydraulics and Mountain River Engineering, Chengdu, China
- affiliation: Chinese Academy of Agricultural Sciences, Institute of Environment and Sustainable Development in Agriculture, Beijing, China
Other persons with the same name
- Yu Feng — disambiguation page
- Yu Feng 0001 — University of California, Santa Barbara, CA, USA (and 1 more)
- Yu Feng 0002 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 2 more)
- Yu Feng 0003 — Oklahoma State University, School of Chemical Engineering, Stillwater, OK, USA
- Yu Feng 0004 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
- Yu Feng 0005 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Yu Feng 0006 — Leibniz University Hannover, Institute of Cartography and Geoinformatics, Hannover, Germany
- Yu Feng 0007 — Shanghai Jiao Tong University, Shanghai, China (and 1 more)
- Yu Feng 0009 — University of California, Berkeley Center for Cosmological Physics, Berkeley CA, USA (and 1 more)
- Yu Feng 0010 — Dublin City University, School of Computer Applications, Dublin, Ireland
- Yu Feng 0011 — ACM and SIGSOFT, Houston, TX, USA
- Yu Feng 0012 — Zhejiang Shannon Wireless Technology Co., Ltd., Hangzhou, China
- Yu Feng 0013 — University of Pennsylvania, PA, USA
- Yu Feng 0014 — Shanxi Agricultural University, China (and 1 more)
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2020 – today
- 2021
- [j6]Daozhi Gong, Weiping Hao, Lili Gao, Yu Feng, Ningbo Cui:
Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China. Comput. Electron. Agric. 187: 106294 (2021) - [j5]Lili Gao, Daozhi Gong, Ningbo Cui, Min Lv, Yu Feng:
Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation. Comput. Electron. Agric. 190: 106466 (2021) - 2020
- [j4]Bin Zhu, Yu Feng, Daozhi Gong, Shouzheng Jiang, Lu Zhao, Ningbo Cui:
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data. Comput. Electron. Agric. 173: 105430 (2020)
2010 – 2019
- 2019
- [j3]Yixuan Zhang, Ningbo Cui, Yu Feng, Daozhi Gong, Xiaotao Hu:
Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China. Comput. Electron. Agric. 164 (2019) - 2018
- [j2]Dahua Tang, Yu Feng, Daozhi Gong, Weiping Hao, Ningbo Cui:
Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands. Comput. Electron. Agric. 152: 375-384 (2018) - 2017
- [j1]Yu Feng, Yong Peng, Ningbo Cui, Daozhi Gong, Kuandi Zhang:
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data. Comput. Electron. Agric. 136: 71-78 (2017)
Coauthor Index
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