Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강맹규 | - |
dc.date.accessioned | 2021-05-25T07:38:34Z | - |
dc.date.available | 2021-05-25T07:38:34Z | - |
dc.date.issued | 2000-11 | - |
dc.identifier.citation | 한국산업경영시스템학회 2000년도 추계학술대회 , page. 395-401 | en_US |
dc.identifier.uri | http://scholar.dkyobobook.co.kr/searchDetail.laf?barcode=4030007071653# | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/162428 | - |
dc.description.abstract | This paper provides a new method of initializing neurons used in self-organizing neural networks and sequencing of input nodes. We use a general property that in any optimal solution for euclidean travelling salesman problem, vertices located on the convex hull are visited in the order in which they appear on the convex hull boundary. We composite input nodes as number of convex hulls and initialize neurons as shape of external convex hull. As a result of our experiment, we obtain more improved solutions and these solutions can be used for initial solutions of any global search algorithms. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국산업경영시스템학회 | en_US |
dc.title | 볼록 다각형을 이용한 자기조직화 신경망의 연결강도 초기화와 유클리디안 외판원 문제의 적용 | en_US |
dc.title.alternative | The weight initialization of self-organizing neural networks using convex hull for the euclidean travelling salesman problem | en_US |
dc.type | Article | en_US |
dc.relation.journal | 한국산업경영시스템학회지 | - |
dc.contributor.googleauthor | 이석기 | - |
dc.contributor.googleauthor | 강맹규 | - |
dc.relation.code | 2012101506 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING | - |
dc.identifier.pid | dockang | - |
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