Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13463
Title: Stability analysis of the brain-state-in-a-box (BSB) neural networks with delay
Authors: Qiu, SS
Tsang, ECC
Yeung, DS
Wang, XZ
Keywords: Convergence
Delays
Matrix algebra
Neural nets
Stability
Issue Date: 2003
Publisher: IEEE
Source: 2003 International Conference on Machine Learning and Cybernetics, 2-5 November 2003, v. 2, p. 1270-1274 How to cite?
Abstract: In this paper we discuss the dynamic properties of a family of brain-state-in-a-box (BSB) models with delay. We have performed a detailed stability analysis of this network and found that under proper assumptions when the connection weight matrix of this network is strongly row diagonal dominant or non-symmetric, the relationships among the extreme point, equilibrium points and stable points in this network can be obtained. Theoretical analysis demonstrates that the BSB with delay performs much better than the original BSB in updating to an extreme point.
URI: http://hdl.handle.net/10397/13463
ISBN: 0-7803-8131-9
DOI: 10.1109/ICMLC.2003.1259683
Appears in Collections:Conference Paper

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