커미티 머쉰을 이용한 다중-해상도 퍼지 최소-최대 신경망Multi-resolution fuzzy min-max neural network using committee machine
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 변증남 | - |
| dc.contributor.advisor | Bien, Zeung-Nam | - |
| dc.contributor.author | 곽병동 | - |
| dc.contributor.author | Kwak, Byoung-Dong | - |
| dc.date.accessioned | 2011-12-14T01:52:37Z | - |
| dc.date.available | 2011-12-14T01:52:37Z | - |
| dc.date.issued | 2004 | - |
| dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=238399&flag=dissertation | - |
| dc.identifier.uri | http://hdl.handle.net/10203/37722 | - |
| dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2004.2, [ vi, 45 p. ] | - |
| dc.language | kor | - |
| dc.publisher | 한국과학기술원 | - |
| dc.subject | 증분 학습 능력 | - |
| dc.subject | 커미티 머쉰 | - |
| dc.subject | 퍼지 최소-최대 신경망 | - |
| dc.subject | 다중해상도 | - |
| dc.subject | MULTI-RESOLUTION | - |
| dc.subject | INCREMENTAL LEARNING CAPABILITY | - |
| dc.subject | COMMITTEE MACHINE | - |
| dc.subject | FUZZY MIN-MAX NEURAL NETWORK | - |
| dc.title | 커미티 머쉰을 이용한 다중-해상도 퍼지 최소-최대 신경망 | - |
| dc.title.alternative | Multi-resolution fuzzy min-max neural network using committee machine | - |
| dc.type | Thesis(Master) | - |
| dc.identifier.CNRN | 238399/325007 | - |
| dc.description.department | 한국과학기술원 : 전기및전자공학전공, | - |
| dc.identifier.uid | 020023020 | - |
| dc.contributor.localauthor | 변증남 | - |
| dc.contributor.localauthor | Bien, Zeung-Nam | - |
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