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

Jiang, D 2007 , 'Intelligent computing for real-time solution of time-varying linear equations' , Int. J. Intelligent Systems Technologies and Applications, vol. 3, No. 3/4 , pp. 309-318 , doi: 10.1504/IJISTA.2007.014266.

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Abstract

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 Type: Article
Authors/Creators:Jiang, D
Keywords: implicit recurrent neural networks; IRNN; intelligent computing; time-varying linear equations; Sylvester equation; pattern recognition; simulation; computer vision.
Journal or Publication Title: Int. J. Intelligent Systems Technologies and Applications
Publisher: Inderscience
ISSN: 1740-8865
DOI / ID Number: 10.1504/IJISTA.2007.014266
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