Global Asymptotic Stability of Neural Networks With Delay: Comparative Evaluation of Two Criteria
| dc.authorscopusid | 7404651584 | |
| dc.contributor.author | Singh, Vimal | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T14:33:49Z | |
| dc.date.available | 2024-07-05T14:33:49Z | |
| dc.date.issued | 2007 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey | en_US |
| dc.description.abstract | In [IEEE Trans Cire Syst II 2005;52(4):181-4], a criterion for the global asymptotic stability of a class of delayed neural networks has been presented. The criterion is based on the factorization B = B(1)B(2), where B denotes the delayed connection weight matrix. In the present paper, this criterion is compared with the criterion reported in [Phys Lett A 2003;311(6):504-11]. It turns out that, as far as the case of a nonsingular matrix B, is concerned, these two criteria are one and the same. (c) 2006 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.citationcount | 6 | |
| dc.identifier.doi | 10.1016/j.chaos.2006.01.045 | |
| dc.identifier.endpage | 1190 | en_US |
| dc.identifier.issn | 0960-0779 | |
| dc.identifier.issue | 5 | en_US |
| dc.identifier.scopus | 2-s2.0-33748422530 | |
| dc.identifier.startpage | 1187 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.chaos.2006.01.045 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/959 | |
| dc.identifier.volume | 31 | en_US |
| dc.identifier.wos | WOS:000241350200014 | |
| dc.identifier.wosquality | Q1 | |
| dc.institutionauthor | Sıngh, Vımal | |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon-elsevier Science Ltd | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 7 | |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Global Asymptotic Stability of Neural Networks With Delay: Comparative Evaluation of Two Criteria | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 5 | |
| dspace.entity.type | Publication | |
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