Analysis of dissolved oxygen influencing factors and concentration prediction using input variable selection technique: A hybrid machine learning approach-Reference-Cited by-同舟云学术

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Analysis of dissolved oxygen influencing factors and concentration prediction using input variable selection technique: A hybrid machine learning approach

Published:2024-04 Issue: Volume:357 Page:120777
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Liu Wei^ORCID,Lin Shu,Li Xiaobao^ORCID,Li Wenjing,Deng Hong,Fang Huaiyang,Li Weijie^ORCID

Publisher

Elsevier BV

Reference71 articles.

1. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting;Abrahart;Prog. Phys. Geogr.,2012

2. Performance Assessment of the Linear, Nonlinear and Nonparametric Data Driven Models in River Flow Forecasting;Ahani;Water Res. Manag.,2018

3. River discharges forecasting in northern Iraq using different ANN techniques;Awchi;Water Resour. Manag.,2014

4. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?;Balabin;Phys. Chem. Chem. Phys.,2011

5. The metabolic regimes of flowing waters;Bernhardt;Limnol. Oceanogr.,2018

Cited by 1 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. Research on the Influence of Core Sensing Components on the Performance of Galvanic Dissolved Oxygen Sensors;Sensors;2024-06-26

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