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

Authors:
Danchi Jiang
Affiliations:
School of Engineering, University of Tasmania, Private Bag 65, Hobart, TAS 7001, Australia
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2007

Citing 8
Cited 0

Topics in matrix analysis

Topics in matrix analysis
Analog VLSI and neural systems

Analog VLSI and neural systems
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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.