Extended Wang neural network for online solving a set of linear equations

An extended Wang neural network (EWNN) is proposed to solve online a set of linear equations. Such EWNN is possessing the general nonlinear model form with redundant parts, to face existence of nonlinearity phenomena in circuit implementation of Wang neural network (WNN). Furthermore, two types of n...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics letters 2016-06, Vol.52 (12), p.1001-1003
Hauptverfasser: Li, Zhan, Yin, Ziguang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An extended Wang neural network (EWNN) is proposed to solve online a set of linear equations. Such EWNN is possessing the general nonlinear model form with redundant parts, to face existence of nonlinearity phenomena in circuit implementation of Wang neural network (WNN). Furthermore, two types of nonlinear activation are proposed for EWNN aiming to improve the convergence of the WNN. Illustrative results verify the proposed EWNN for online solving linear equations.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2016.0186