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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 1740-8865 (2007) [Refereed Article]

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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
Keywords: Implicit Recurrent Neural Networks, IRNN, intelligent computing, linear equations, time-varying, Sylvester equation
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Neural, Evolutionary and Fuzzy Computation
Objective Division:Manufacturing
Objective Group:Communication Equipment
Objective Field:Voice and Data Equipment
UTAS Author:Jiang, D (Dr Danchi Jiang)
ID Code:44424
Year Published:2007
Deposited By:Engineering
Deposited On:2007-08-01
Last Modified:2012-11-07

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