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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Official URL: http://nonlinearstudies.com/index.php/nonlinear/ar...
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 02:09 |
| Last Modified: | 18 Jul 2012 09:33 |
| URI: | https://repository.usp.ac.fj/id/eprint/2714 |
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