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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:	https://doi.org/10.1504/IJISTA.2007.014266
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