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Convergence of solutions and practical stability of hopfield-type neural networks with time-varying external inputs

Vanualailai, Jito and Soma, T. and Nakagiri, S. (2002) Convergence of solutions and practical stability of hopfield-type neural networks with time-varying external inputs. Nonlinear Studies, 9 (2). pp. 109-122. ISSN 1359-8678

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Abstract

Via the direct method of Liapunov, this paper presents a convergence criterion for Hopfield-type artificial neural networks with time-varying external inputs. Also, in the presence of such inputs, it is shown, via the concept of practical stability, that the boundedness of the neuron activation functions is all that is required to ensure boundedness of solutions.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User: Ms Neha Harakh
Date Deposited: 21 Nov 2002 14:09
Last Modified: 18 Jul 2012 21:33
URI: http://repository.usp.ac.fj/id/eprint/2714
UNSPECIFIED

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