Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm-Reference-Cited by-同舟云学术

Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm

Published:2023-06-09 Issue:10 Volume:37 Page:3953-3972
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Zhou Jincheng,Wang Dan,Band Shahab S.,Jun Changhyun,Bateni Sayed M.,Moslehpour M.^ORCID,Pai Hao-Ting,Hsu Chung-Chian,Ameri Rasoul

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11269-023-03534-9.pdf

Reference58 articles.

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4. Ch S, Anand N, Panigrahi BK, Mathur S (2013) Streamflow forecasting by SVM with quantum behaved particle swarm optimization. Neurocomput 101:18–23

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