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

Authors: Danchi Jiang

Addresses: School of Engineering, University of Tasmania, Private Bag 65, Hobart, TAS 7001, Australia

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.

Keywords: implicit recurrent neural networks; IRNN; intelligent computing; time-varying linear equations; Sylvester equation; pattern recognition; simulation; computer vision.

DOI: 10.1504/IJISTA.2007.014266

International Journal of Intelligent Systems Technologies and Applications, 2007 Vol.3 No.3/4, pp.309 - 318

Published online: 28 Jun 2007 *

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