신경회로망을 이용한 혼합이진수-완전이진수 변환기및 2층 구조 화소당 가중치 최적화 모델The mixed binary-to-full binary converter based on neural network and the expansion of bits-significance optimization to 2-layer associative memory
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이수영 | - |
| dc.contributor.advisor | Lee, Soo-Young | - |
| dc.contributor.author | 고상호 | - |
| dc.contributor.author | Koh, Sang-Ho | - |
| dc.date.accessioned | 2011-12-14T02:13:28Z | - |
| dc.date.available | 2011-12-14T02:13:28Z | - |
| dc.date.issued | 1989 | - |
| dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=66872&flag=dissertation | - |
| dc.identifier.uri | http://hdl.handle.net/10203/39083 | - |
| dc.description | 학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과, 1989.8, [ [iii], 70 p. ] | - |
| dc.language | kor | - |
| dc.publisher | 한국과학기술원 | - |
| dc.title | 신경회로망을 이용한 혼합이진수-완전이진수 변환기및 2층 구조 화소당 가중치 최적화 모델 | - |
| dc.title.alternative | The mixed binary-to-full binary converter based on neural network and the expansion of bits-significance optimization to 2-layer associative memory | - |
| dc.type | Thesis(Master) | - |
| dc.identifier.CNRN | 66872/325007 | - |
| dc.description.department | 한국과학기술원 : 전기 및 전자공학과, | - |
| dc.identifier.uid | 000871014 | - |
| dc.contributor.localauthor | 이수영 | - |
| dc.contributor.localauthor | Lee, Soo-Young | - |
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- EE-Theses_Master(석사논문)
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