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Intelligent computing for real-time solution of time-varying linear equations


Jiang, D, Intelligent computing for real-time solution of time-varying linear equations, International Journal of Intelligent Systems Technologies and Applications, 3, (3/4) pp. 309-318. ISSN 1740-8873 (2007) [Refereed Article]

Copyright Statement

Copyright 2007 Inderscience Enterprises Ltd.

DOI: doi:10.1504/IJISTA.2007.014266


An Implicit Recurrent Neural Network (IRNN) model is proposed in this paper for solving online time-varying linear equations. This problem is fundamental in solving many pattern recognition problems. Such a network model renders distributed intelligent computing. Convergent and robust properties have been revealed by a careful theoretical analysis. The time-varying Sylvester equation and a simulation example with background in computer vision are discussed to demonstrate the effectiveness and efficiency of the proposed method.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Other engineering
Research Field:Other engineering not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Jiang, D (Dr Danchi Jiang)
ID Code:81144
Year Published:2007
Deposited By:Engineering
Deposited On:2012-11-23
Last Modified:2013-07-10

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