A study of the conversion of different evaporation pans in South China based on the extreme learning machine model-Reference-Cited by-同舟云学术

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A study of the conversion of different evaporation pans in South China based on the extreme learning machine model

Published:2021-11-29 Issue:16 Volume:66 Page:2357-2381
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Qian Long¹,Wu Lifeng²,Liu Xiaogang¹^ORCID,Dong Jianhua¹,Li Sien³,Yang Qiliang¹,Cui Yaokui⁴

Affiliation:

1. Faculty of Modern Agricultural Engineering, Kunming University of Science Technology, Kunming, China

2. School of Hydraulic and Ecological Engineering, Nanchang Institute of Technology, Nanchang, China

3. Center for Agricultural Water Research in China, China Agricultural University, Beijing, China

4. Institute of RS and GIS, School of Earth and Space Sciences, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Yunnan Education Department

Key Laboratories of the University in Yunnan Province

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.1994977

Reference48 articles.

1. Utilizing RBF-NN and ANFIS Methods for Multi-Lead ahead Prediction Model of Evaporation from Reservoir

2. Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables

3. Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybridization of deep learning, nonlinear system identification and ensemble tree intelligence algorithms for pan evaporation estimation;Journal of Hydrology;2024-08

2. Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study;Advances in Meteorology;2022-02-21

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