DC Field | Value | Language |
---|---|---|
dc.contributor.author | 유요한 | ko |
dc.contributor.author | 김태정 | ko |
dc.contributor.author | 양동열 | ko |
dc.date.accessioned | 2013-03-04T07:45:01Z | - |
dc.date.available | 2013-03-04T07:45:01Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2001-01 | - |
dc.identifier.citation | 한국군사과학기술학회지, v.4, no.2, pp.189 - 201 | - |
dc.identifier.issn | 1598-9127 | - |
dc.identifier.uri | http://hdl.handle.net/10203/82045 | - |
dc.description.abstract | For a design of multi-layer armor, the extensive full scale or sub-scale penetration test data are required. In generally, the collection of penetration data is in need of time-consuming and expensive processes. However, the application of numerical or analytical method is very limited due to poor understanding about penetration mechanics. In this paper, we have developed a neural network analyzer which can be used as a design tool for a new armor. Calculation results show that the developed neural network analyzer can predict relatively exact penetration depth of a new armor through the effective analysis of the pre-existing penetration database. | - |
dc.language | Korean | - |
dc.publisher | 한국군사과학기술학회 | - |
dc.title | 신경회로망을 이용한 다층장갑의 방호성능 예측 | - |
dc.title.alternative | A Terminal Ballistic Performance Prediction of Multi-Layer Armor with Neural Network | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 4 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 189 | - |
dc.citation.endingpage | 201 | - |
dc.citation.publicationname | 한국군사과학기술학회지 | - |
dc.contributor.localauthor | 양동열 | - |
dc.contributor.nonIdAuthor | 유요한 | - |
dc.contributor.nonIdAuthor | 김태정 | - |
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