Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms

To improve the accuracy of monthly runoff time series prediction and enhance the performance of online sequential extreme learning machine (OSELM) prediction, ten "bird" swarm algorithms were compared and validated for optimization, including satin bowerbird optimizer (SBO)/Harris hawks op...

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Bibliographic Details
Main Authors: DENG Zhiyu, CUI Dongwen
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2025-01-01
Series:Renmin Zhujiang
Subjects:
Online Access:http://www.renminzhujiang.cn/thesisDetails?columnId=110180965&Fpath=home&index=0
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