Open AccessExtended Wang neural network for online solving a set of linear equations
Author(s) -
Li Zhan,
Yin Ziguang
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.0186
Subject(s) - artificial neural network , nonlinear system , convergence (economics) , set (abstract data type) , computer science , linear equation , face (sociological concept) , cellular neural network , mathematics , mathematical optimization , algorithm , artificial intelligence , mathematical analysis , programming language , social science , physics , quantum mechanics , sociology , economics , economic growth
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.