完整后设资料纪录
DC 栏位 | 值 | 语言 |
---|---|---|
dc.contributor.author | Hu, YC | en_US |
dc.contributor.author | Chen, RS | en_US |
dc.contributor.author | Hsu, YT | en_US |
dc.contributor.author | Tzeng, GH | en_US |
dc.date.accessioned | 2014-12-08T15:41:52Z | - |
dc.date.available | 2014-12-08T15:41:52Z | - |
dc.date.issued | 2002-10-01 | en_US |
dc.identifier.issn | 0925-2312 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/S0925-2312(01)00677-4 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/28473 | - |
dc.description.abstract | In each training iteration of the self-organizing feature maps (SOFM), the adjustable output nodes can be determined by the neighborhood size of the winning node. However, it seems that the SOFM ignores some important information, which is the relationships that actually exist between the input training data and each adjustable output node, in the learning rule. By viewing input data and each adjustable node as a reference sequence and a comparative sequence, respectively, the grey relations between these sequences can be seen. This paper thus incorporates the grey relational coefficient into the learning rule of the SOFM, and a grey clustering method, namely the GSOFM, is proposed. From the simulation results, we can see that the best result of the proposed method applied for analysis of the iris data outperforms those of other known unsupervised neural network models. Furthermore, the proposed method can effectively solve the traveling salesman problem. (C) 2002 Elsevier Science B.V. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | self-organizing feature maps | en_US |
dc.subject | grey relation | en_US |
dc.subject | grey clustering | en_US |
dc.subject | traveling salesman problem | en_US |
dc.title | Grey self-organizing feature maps | en_US |
dc.type | Article; Proceedings Paper | en_US |
dc.identifier.doi | 10.1016/S0925-2312(01)00677-4 | en_US |
dc.identifier.journal | NEUROCOMPUTING | en_US |
dc.citation.volume | 48 | en_US |
dc.citation.issue | en_US | |
dc.citation.spage | 863 | en_US |
dc.citation.epage | 877 | en_US |
dc.contributor.department | 科技管理研究所 | zh_TW |
dc.contributor.department | 资讯管理与财务金融系 注:原资管所+财金所 | zh_TW |
dc.contributor.department | Institute of Management of Technology | en_US |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000178464600049 | - |
显示于类别: | Conferences Paper |
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