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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, 3 (3/4). pp. 309-318. ISSN 1740-8865

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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
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
Page Range: pp. 309-318
ISSN: 1740-8865
Identification Number - DOI: 10.1504/IJISTA.2007.014266
Date Deposited: 07 Apr 2008 14:41
Last Modified: 17 Dec 2008 01:01
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