SSA-ELM Hydrological Time Series Forecast Model Based on Wavelet Packet Decomposition and Phase Space Reconstruction
Considering the nonlinear and multi-scale characteristics of hydrological time series,this paper proposes a squirrel search algorithm (SSA)-extreme learning machine (ELM) forecasting model based on wavelet packet decomposition (WPD) and phase space reconstruction.It is then applied to the Shangguo H...
Saved in:
Main Authors: | LI Lude, CUI Dongwen |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Pearl River
2022-01-01
|
Series: | Renmin Zhujiang |
Subjects: | |
Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.08.016 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet
by: Yaru Yue, et al.
Published: (2023-06-01) -
Long-term prediction for VBR video traffic based on wavelet packet decomposition
by: CHEN Jian1, et al.
Published: (2008-01-01) -
BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node
by: Qin Bo, et al.
Published: (2016-01-01) -
Bearing Fault Diagnosis Based on Parameter Optimized VMD and ELM with Improved SSA
by: Yang Sen, et al.
Published: (2023-10-01) -
Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring
by: M. S. Priyadarshini, et al.
Published: (2025-01-01)