Solving maximum clique problem by cellular neural network
dc.citation.epage | 1506 | en_US |
dc.citation.issueNumber | 15 | en_US |
dc.citation.spage | 1504 | en_US |
dc.citation.volumeNumber | 34 | en_US |
dc.contributor.author | Şengör, N. S. | en_US |
dc.contributor.author | Yalçın, M. E. | en_US |
dc.contributor.author | Çakır, Y. | en_US |
dc.contributor.author | Üçer, M. | en_US |
dc.contributor.author | Güzeliş, C. | en_US |
dc.contributor.author | Pekergin, F. | en_US |
dc.contributor.author | Morgül, Ö. | en_US |
dc.date.accessioned | 2016-02-08T10:44:36Z | |
dc.date.available | 2016-02-08T10:44:36Z | |
dc.date.issued | 1998-07-23 | en_US |
dc.description.abstract | An approximate solution of an NP-hard graph theoretical problem, namely finding maximum clique, is presented using cellular neural networks. Like the existing energy descent optimising dynamics, the maximal cliques will be the stable states of cellular neural networks. To illustrate the performance of the method, the results will be compared with those of continuous Hopfield dynamics. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T10:44:36Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1998 | en |
dc.identifier.doi | 10.1049/el:19981026 | en_US |
dc.identifier.issn | 0013-5194 | |
dc.identifier.uri | http://hdl.handle.net/11693/25434 | |
dc.language.iso | English | en_US |
dc.publisher | The Institution of Engineering and Technology | en_US |
dc.relation.isversionof | https://doi.org/10.1049/el:19981026 | en_US |
dc.source.title | Electronics Letters | en_US |
dc.subject | Approximation theory | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Graph theory | en_US |
dc.subject | Hopfield dynamics | en_US |
dc.subject | Maximum clique problem | en_US |
dc.subject | Cellular neural networks | en_US |
dc.title | Solving maximum clique problem by cellular neural network | en_US |
dc.type | Article | en_US |
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