Please Note:

The Open Access Repository will be moving to a new authentication system on the 1st of November.

From this date onwards, account holders will be required to login using their University of Tasmania credentials.
If your current repository username differs from your University username, please email so we can update these details on your behalf.

Due to the change, there will be a short outage of the repository from 9am on the morning of the 1st of November

Open Access Repository

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

Full text not available from this repository. (Request a copy)


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
Item Statistics: View statistics for this item

Actions (login required)

Item Control Page Item Control Page