Improving Prediction Accuracy of Hydrologic Time Series by Least-Squares Support Vector Machine Using Decomposition Reconstruction and Swarm Intelligence-Reference-Cited by-同舟云学术

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

Published:2021-09 Issue:9 Volume:26 Page:04021030
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Niu Wen-jing¹,Feng Zhong-kai²,Xu Yin-shan¹,Feng Bao-fei¹,Min Yao-wu³

Affiliation:

1. Senior Engineer, Bureau of Hydrology, ChangJiang Water Resources Commission, Jiefang Ave. No. 1863, Wuhan 430010, China.

2. Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China (corresponding author).

3. Professor of Engineering, Bureau of Hydrology, ChangJiang Water Resources Commission, Jiefang Ave. No. 1863, Wuhan 430010, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002116

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