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DQN 강화학습 기반 최대 효율 구동 가능한 최적 IPT 코일턴수 설계
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이은수 | - |
| dc.date.accessioned | 2023-04-03T14:04:02Z | - |
| dc.date.available | 2023-04-03T14:04:02Z | - |
| dc.date.issued | 2022-11-25 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/111760 | - |
| dc.title | DQN 강화학습 기반 최대 효율 구동 가능한 최적 IPT 코일턴수 설계 | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 2022 추계전력전자학회 | - |
| dc.citation.conferencePlace | 의왕 한국교통대 | - |
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Related Researcher
- Lee, Eunsoo
- ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)