Intelligent computing for real-time solution of time-varying linear equations
by Danchi Jiang
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 3, No. 3/4, 2007

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.

Online publication date: Thu, 28-Jun-2007

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