Sparse compressed deep echo state network with improved arithmetic optimization algorithm for chaotic time series prediction

A sparse compressed deep echo state network (SCDESN) incorporating sparse input units, compressed sampling and principal component analysis (PCA) units is proposed in this paper, and theoretically proved the sufficient and necessary conditions to ensure the echo state characteristics of the proposed...

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Veröffentlicht in:	Expert systems with applications Jg. 259; S. 125249
Hauptverfasser:	Wang, Hongbo, Mo, Yuanbin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2025
Schlagworte:	Arithmetic optimization algorithm Chaotic time series prediction Deep learning Echo state networks Hierarchical structure Deep learning Arithmetic optimization algorithm Echo state networks Chaotic time series prediction Hierarchical structure
ISSN:	0957-4174
Online-Zugang:	Volltext
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