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Feb 9, 2023

Closure to “Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence”

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Publication: Journal of Hydrologic Engineering
Volume 28, Issue 4

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Acknowledgments

This paper is supported by the National Natural Science Foundation of China (52009012) and the Fundamental Research Funds for the Central Universities (B210201046). The writers would like to thank the editors and reviewers for their valuable comments and suggestions.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 28Issue 4April 2023

History

Received: Aug 26, 2022
Accepted: Dec 15, 2022
Published online: Feb 9, 2023
Published in print: Apr 1, 2023
Discussion open until: Jul 9, 2023

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Wen-jing Niu [email protected]
Senior Engineer, Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan 430010, China. Email: [email protected]
Zhong-kai Feng [email protected]
Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China (corresponding author). Email: [email protected]
Yin-shan Xu [email protected]
Senior Engineer, Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan 430010, China. Email: [email protected]
Bao-fei Feng [email protected]
Professor of Engineering, Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan 430010, China. Email: [email protected]
Professor of Engineering, Bureau of Hydrology, ChangJiang Water Resources Commission, Wuhan 430010, China. Email: [email protected]

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